Method, device and equipment for assisting content creation, storage medium and program product

Abstract

The embodiment of the invention provides a method and device for assisting content creation, equipment, a storage medium and a program product, and the method comprises the steps: responding to a content story framework input for to-be-created content, generating a plurality of story line lines based on the content story framework, and enabling the plurality of story line lines to be used for indicating different narrative rhythms and story line development; and displaying the plurality of story plot lines and emotion change information predicted corresponding to the story plot lines, wherein the emotion change information is used for providing creation prompts for the to-be-created content under the associated story plot lines. By utilizing the method, creation reference basis with rich drama changes is efficiently and conveniently provided for a creator, and the creator can quickly and accurately know the emotion change condition after audiences see the creation content written according to the story drama line, so that targeted creation can be carried out, and the creation efficiency is improved. Therefore, the creation efficiency is improved, and the quality and the favorite degree of the created content are improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, apparatus, device, storage medium, and program product for assisting content creation. Background Art

[0002] Currently, content created by creators can be shared with users through media technology and smart devices. When users read content, their emotions will change according to the development of the story involved in the content.

[0003] Therefore, creators hope to understand in a timely manner the impact of their content on the audience's emotional changes and carry out targeted creation. Summary of the Invention

[0004] The present disclosure provides a method, apparatus, device, storage medium and program product for assisting content creation, which effectively provides creators with the impact of the plot development involved in the content they create on the emotional changes of the audience, so as to assist creators in carrying out targeted creation, thereby improving creation efficiency and content quality.

[0005] In a first aspect, an embodiment of the present disclosure provides a method for assisting content creation, the method for assisting content creation comprising:

[0006] In response to a content story framework input for the content to be created, generating a plurality of story plot lines based on the content story framework, wherein the plurality of story plot lines are used to indicate different narrative rhythms and plot developments;

[0007] A plurality of the story plot lines and the predicted emotional change information corresponding to the story plot lines are displayed, and the emotional change information is used to provide creation prompts for the content to be created under the associated story plot lines.

[0008] In a second aspect, an embodiment of the present disclosure further provides a device for assisting content creation, including:

[0009] A generating module, configured to generate a plurality of story plot lines based on a content story framework input for the content to be created, in response to the content story framework input, wherein the plurality of story plot lines are used to indicate different narrative rhythms and plot developments;

[0010] A display module is used to display multiple story lines and emotional change information predicted corresponding to the story lines, and the emotional change information is used to provide creation tips for the content to be created under the associated story lines.

[0011] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0012] one or more processors;

[0013] a storage device for storing one or more programs;

[0014] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for assisting content creation as described in any embodiment of the present disclosure.

[0015] In a fourth aspect, an embodiment of the present disclosure further provides a storage medium of computer-executable instructions, which, when executed by a computer processor, is used to execute the method of assisting content creation as described in any embodiment of the present disclosure.

[0016] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the method of assisting content creation as described in any embodiment of the present disclosure.

[0017] The above technical solution of the embodiment of the present disclosure, by responding to the content story framework input for the content to be created, generates multiple story plot lines based on the content story framework, and the multiple story plot lines are used to indicate different narrative rhythms and plot developments; displays multiple story plot lines and the emotional change information predicted for the corresponding story plot lines, and the emotional change information is used to provide creation prompts for the content to be created under the associated story plot lines. Utilizing this method, by generating and displaying multiple story plot lines indicating different narrative rhythms and plot developments based on the input content story framework, creators are efficiently and conveniently provided with a creative reference basis with rich plot changes, and by displaying the emotional change information predicted for the corresponding story plot lines, creators can quickly and accurately understand the emotional changes in different emotional dimensions of the audience after seeing the creative content written according to the story plot lines, so that they can carry out targeted story plot line selection and content creation, thereby improving creation efficiency, improving the quality and popularity of the creative content, and improving the simplicity of content creation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the originals and elements are not necessarily drawn to scale.

[0019] Figure 1 A flowchart of a method for assisting content creation provided by an embodiment of the present disclosure;

[0020] Figure 2 A schematic diagram of a storyline in a method for assisting content creation provided by an embodiment of the present disclosure;

[0021] Figure 3 A schematic diagram of predicted emotional change information corresponding to the story plot line in a method for assisting content creation provided by an embodiment of the present disclosure;

[0022] Figure 4 A schematic diagram of sentiment distribution information in a method for assisting content creation provided by an embodiment of the present disclosure;

[0023] Figure 5 A flowchart of a method for assisting content creation provided by an embodiment of the present disclosure;

[0024] Figure 6 A schematic structural diagram of a device for assisting content creation provided by an embodiment of the present disclosure is provided;

[0025] Figure 7 A structural diagram of an electronic device provided by an embodiment of the present disclosure is given. DETAILED DESCRIPTION

[0026] The following describes embodiments of the present disclosure in more detail with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of protection of the present disclosure.

[0027] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0028] As used herein, the term "including" and its variations are open-ended, i.e., "including but not limited to." The term "based on" means "based, at least in part, on." The term "one embodiment" means "at least two embodiments," the term "another embodiment" means "at least two additional embodiments," and the term "some embodiments" means "at least some embodiments." Other terms are defined in the following description.

[0029] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are only used to distinguish different systems, modules or units, and are not used to limit the order or interdependence of the functions performed by these systems, modules or units.

[0030] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more".

[0031] The names of the messages or information exchanged between multiple systems in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0032] It is understandable that before using the technical solutions disclosed in the various embodiments of this disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved in this disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0033] For example, in response to a user's active request, a prompt message is sent to the user to clearly inform the user that the operation requested will require the acquisition and use of the user's personal information. This allows the user to independently choose whether to provide personal information to the electronic device, application, server, storage medium, or other software or hardware that performs the operations of the disclosed technical solution based on the prompt message.

[0034] As an optional but non-limiting implementation, in response to receiving a user's active request, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. Furthermore, the pop-up window may also contain a selection control for the user to select "agree" or "disagree" to provide personal information to the electronic device.

[0035] It is understandable that the above notification and user authorization process are merely illustrative and do not limit the implementation of the present disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0036] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) must comply with the requirements of relevant laws, regulations and relevant provisions.

[0037] It's important to note that as audiences consume creative content, their emotions change as the story unfolds. These emotional shifts play a crucial role in determining the narrative rhythm and timing of new character appearances. Currently, to create high-quality, engaging content, creators typically spend considerable time analyzing audience emotions based on a constructed story framework. Based on this understanding, they continuously adjust the outline, main plot, and side plots.

[0038] This traditional method will cause creators to frequently encounter writer's block during the writing process if they do not have a sufficient understanding of the relationship between the direction of the story and the audience's emotional changes, or if their imagination and creativity are not rich enough. This will seriously reduce their creative efficiency, and if they do not correctly grasp the audience's emotional changes, it may also reduce the audience's liking for the creative content.

[0039] Based on this, the present disclosure provides a method for assisting content creation. Figure 1 This is a flow chart of a method for assisting content creation provided by an embodiment of the present disclosure. The embodiment of the present disclosure is applicable to scenarios where content creation is performed to assist creators in better understanding the impact of the content to be created on the emotional changes of the audience, thereby improving the efficiency and quality of creation. The method can be executed by a device for assisting content creation, which can be implemented in the form of software and / or hardware. Optionally, it can be implemented by an electronic device, which can be a mobile terminal, PC, or server, etc. Figure 1 As shown, the method for assisting content creation provided by the embodiment of the present disclosure may specifically include:

[0040] S101 : In response to a content story framework input for content to be created, generate multiple story plot lines based on the content story framework, where the multiple story plot lines are used to indicate different narrative rhythms and plot developments.

[0041] Unfinished content can be understood as unfinished works or creative ideas that require further development. This includes literary works such as online articles, short stories, and screenplays. A content story framework can be considered the basic structure for building complete content. This framework includes the title, target audience, style, information about the protagonist, supporting characters, villain, and plot summary.

[0042] The target audience can be divided based on gender or age group. Content styles can include comedy, tragedy, horror, urban, fantasy, book-traveling, and martial arts, as well as short essays, medium-length novels, and novels. Information about the protagonist, supporting characters, and villains can include the character's name, appearance, personality traits, and / or living conditions. The plot summary can include the main content (such as the story of making a fortune, solving a mystery, finding relatives, or saving the world), background settings (such as time: ancient, modern, contemporary, future, or fictional era; location of the story: small town, mysterious island, or bustling city, etc.), and important events and plot points triggered by the plot.

[0043] It is understandable that when the creator only has preliminary creative ideas, a rough storyline, or has already created some content for the content to be created, in order to broaden the ideas for plot development and quickly estimate the audience's emotional changes after seeing the plot development, the creator can open the writing application software on the client and enter the content story framework for the content to be created in the operation area of ​​the corresponding function displayed in the interactive interface.

[0044] In this embodiment, in response to the content story framework input for the content to be created, a plurality of closed-loop parallel story plot lines can be generated based on the content story framework as a reference for the subsequent plot development direction. The story plot line can be represented as a link diagram generated based on the plot outline. The link diagram can be generated by sorting and linking the plot outline according to the development sequence and logical relationship of the events in the story. The plot outline can be obtained by analyzing the brief plot content generated based on the content story framework. Different story plot lines can provide different main plot development tendencies (such as comedy, tragedy or horror), and there is sufficient content difference between each plot line. At the same time, in order to ensure the coherence and reasonable ending of the plot, different story plot lines will indicate different narrative rhythms.

[0045] S102: Display multiple story lines and predicted emotion change information corresponding to the story lines, where the emotion change information is used to provide creation tips for content to be created under the associated story lines.

[0046] Emotional change information can be understood as information that reflects the emotional fluctuations experienced by the audience while reading content written according to the storyline, within a specific emotional dimension. Each emotional dimension corresponds to a piece of emotional change information. Emotional dimensions can include anticipation, joy, worry, fear, surprise, sadness, disgust, and anger. Emotional dimensions can be selected by the creator based on the primary emotional changes they expect the audience to experience during the reading process, or the backend system can determine the primary emotions experienced by mainstream audiences during the reading process, using the Plutchik Emotion Wheel.

[0047] In this embodiment, the generated multiple story lines can be presented on the application software interface for the creator to view and edit. However, since the creator cannot know the different effects of each story line on the audience's emotions by only viewing the displayed story lines, such as whether one story line has a horror tendency and another story line has a comedy tendency.

[0048] Therefore, this embodiment can predict the emotional changes in the audience after the content is created according to the corresponding storyline based on the preferences of the mainstream mass audience under the preset emotional dimensions. At the same time, this embodiment can also display the emotional changes in each preset emotional dimension together with the corresponding storyline.

[0049] In this embodiment, the emotional change information corresponding to each plot line can intuitively help creators select their preferred plot line for creation. The emotional change trends presented in this emotional change information can provide creators with creative tips for developing content within that plot line. These creative tips can be used to adjust narrative density and rhythm, determine the timing of new character introductions, and more.

[0050] In this embodiment, the emotion change information within a single emotion dimension can be used to characterize the audience's emotional change trend within that emotion dimension as the storyline progresses. In this embodiment, the emotion change information characterizing the emotional change trend is constructed using predicted emotion prediction values. The emotion change information within a single emotion dimension can include multiple emotion prediction values, which can be equal to the number of plot chapters within the storyline. That is, each plot chapter can correspond to one emotion prediction value, which can be understood as the probability value of the audience generating the emotion associated with the emotion dimension within that plot chapter.

[0051] Based on the above description, one method for determining emotional change information can be described as follows: based on the chapter association information (such as chapter overview information) of each plot chapter contained in the storyline, the emotional prediction value of the emotion associated with a certain emotional dimension after the audience browses the chapter content surrounding the chapter association information is predicted. Based on the emotional prediction value corresponding to each plot chapter under this emotional dimension, emotional change information that can represent the trend of emotional change can be formed. The emotional prediction value can be determined by a pre-trained model or predicted by a given prediction indicator.

[0052] It should be noted that the trend of emotional changes presented by the emotional prediction values ​​included in the emotional change information can be regarded as a creative prompt for the creation of creative content. It is equivalent to the creator being able to obtain creative prompts through the analysis of emotional change information. For example, when the emotional change information under the expected emotional dimension has a high emotional prediction value in a certain plot chapter, the creator can, based on writing experience and emotional prediction values, conclude that the plot chapter should be filled with suspenseful chapter content that can make readers expect higher values; correspondingly, the automatically generated creative prompt information can also be used for the plot chapter prompt to add story conflict points or villain characters to the chapter content, etc., which may generate emotional prediction values ​​corresponding to the emotions. Therefore, when the creator views the story line and emotional change information, he can fill in the chapter content of the plot chapter based on writing experience, the emotional prediction values ​​corresponding to the plot chapter, and their changing trends.

[0053] In one implementation, this embodiment can also determine creative prompts for the creation of content based on emotional change information. This creative prompt can provide more diverse prompts, such as hints about the story's worldview, the story's style, conflict points, and character appearance timing. This determined creative prompt provides creators with richer, more comprehensive auxiliary creative information.

[0054] The above technical solution of the embodiment of the present disclosure, by responding to the content story framework input for the content to be created, generates multiple story plot lines based on the content story framework, and the multiple story plot lines are used to indicate different narrative rhythms and plot developments; displays multiple story plot lines and the emotional change information predicted for the corresponding story plot lines, and the emotional change information is used to provide creation prompts for the content to be created under the associated story plot lines. Utilizing this method, by generating and displaying multiple story plot lines indicating different narrative rhythms and plot developments based on the input content story framework, creators are efficiently and conveniently provided with a creative reference basis with rich plot changes, and by displaying the emotional change information predicted for the corresponding story plot lines, creators can quickly and accurately understand the emotional changes in different emotional dimensions of the audience after seeing the creative content written according to the story plot lines, so that they can carry out targeted story plot line selection and content creation, thereby improving creation efficiency, reducing selection costs, improving the quality and popularity of the creative content, and lowering the entry threshold for writing.

[0055] In order to better understand the story plot lines presented in the method for assisting content creation provided by the embodiments of the present disclosure and the emotional change information predicted by the corresponding story plot lines, a specific example is given here.

[0056] Figure 2 This is a schematic diagram of a storyline in a method for assisting content creation provided by an embodiment of the present disclosure. Figure 2 As shown, based on the content story framework input for the content to be created, multiple story lines can be generated and each story line can be displayed. A story line can include multiple plot chapters, and different story lines are used to indicate different narrative rhythms and plot chapter developments.

[0057] Figure 3 This is a schematic diagram of the emotional change information corresponding to the story line in a method for assisting content creation provided by an embodiment of the present disclosure. Figure 3 As shown, in Figure 2 Based on the multiple story lines displayed, the emotional change information under each emotional dimension corresponding to each story line can be displayed. It can be understood that when the emotional dimension is Figure 3 If multiple dimensions are shown, the emotion change information under each emotion dimension can be summarized and displayed. The emotion change information under each emotion dimension can include the emotion prediction value under the emotion dimension corresponding to each plot chapter in the story line.

[0058] As a first optional embodiment of this embodiment, based on the above embodiment, the method may further include:

[0059] a1) In response to adjustments to the plot content of a storyline, updating the storyline and associated emotional change information, wherein the narrative rhythm and plot development indicated by the storyline are adjusted after the update, and the creative prompts provided by the emotional change information are adjusted after the update.

[0060] In this embodiment, the plot content can be understood as the descriptive content associated with the core plot content in the story plot line. The plot content can include the chapter content of each plot chapter and the chapter content of the plot chapter in the story plot line, and can also include content generated by briefly describing the core plot content in the story plot line.

[0061] Understandably, the generated storylines are not perfect or fully reflect the creator's wishes. Therefore, to respect the creator's wishes and improve the quality of their content, if the creator is dissatisfied with the plot content or the trend of the emotional changes associated with the storyline and wishes to adjust the content, the creator can add, delete, and / or modify the content of the corresponding storyline through clicks, input, and other operations on the client.

[0062] Specifically, upon receiving a trigger for adjusting the plot content of a storyline, the storyline is updated in response to the adjusted plot content, ensuring a coherent and logically closed storyline. After the storyline is updated, the associated audience's emotional change information will change along with the storyline. Therefore, to provide creators with accurate estimated emotional change information as a reference, emotional change information for the relatively updated storyline is generated simultaneously with the storyline update. Accordingly, when emotional information changes, the creative prompts provided will also be adjusted to accurately assist creators in their targeted creation.

[0063] The above technical solution of this embodiment supports the adjustment of the plot content of the story line and updates the story line in response to the adjustment of the plot content, so that a story line that is more in line with the creator's ideas can be generated flexibly and conveniently, and the associated emotional change information is updated as the story line is updated, thereby ensuring the accuracy of the emotional change information and its matching with the story line, so that the creator can accurately understand the emotional change information of the story line that is more in line with his or her ideas, thereby improving the creator's work quality, writing efficiency and interactive experience.

[0064] As a second optional embodiment of this embodiment, a story plot line includes at least one plot chapter, and the emotional change information of the story plot line includes emotional prediction values ​​corresponding to each of the plot chapters; the emotional change information indicates the audience's emotional change trend through each of the emotional prediction values.

[0065] Plot chapters can be considered components of a storyline, and each plot chapter can contain one or more plot points that collectively drive the storyline forward. The emotion prediction value can be understood as reflecting the predicted emotional intensity of a particular emotional dimension. A stronger emotion prediction value indicates a higher emotional intensity for the audience. For example, for the joy dimension, a higher emotion prediction value indicates greater joy for the audience, and vice versa.

[0066] It is understandable that when the content to be created is a short article (such as a fable), the storyline may only include one plot chapter. However, when the content to be created is a novel, in order to make the storyline more clear and easy to understand, control the storyline's rhythm, create suspense to attract the audience, and / or highlight important plot points, the plot content corresponding to the storyline can be divided into multiple plot chapters. In other words, the storyline may include dozens, hundreds, or even thousands of plot chapters.

[0067] In this embodiment, the emotion prediction value corresponding to each plot chapter can be estimated based on the plot development in the plot chapter. The emotion change information corresponding to each story line can be constructed based on the emotion prediction value corresponding to each plot chapter in the story line. Therefore, it can be seen that in an optional implementation method, the emotion change information can be represented in the form of a scatter plot connected by lines, such as the horizontal axis is the plot chapter information according to the development of the story plot, and the vertical axis is the emotion prediction value corresponding to the plot chapter. A smooth curve is used to connect the emotion prediction values ​​of each adjacent plot chapter to form emotion change information represented in the form of a graph, so that the emotion change information can indicate the audience's emotional change trend after reading the creative content written according to the plot chapter through each emotion prediction value.

[0068] It should be noted that when the story line corresponds to emotional change information in multiple dimensions, the emotional change information can be summarized in the same coordinate system to form a scatter plot connected by lines, which summarizes the emotional change information.

[0069] In the above technical solution of this embodiment, the emotion change information indicates the audience's emotion change trend through the emotion prediction value corresponding to each plot chapter, and intuitively displays the emotion prediction value corresponding to each plot chapter and the change of the emotion prediction value, thereby providing support for giving accurate and easy-to-implement creation prompts, and enabling creators to carry out targeted creation efficiently.

[0070] As one implementation, a story plot line corresponds to emotional change information under at least one emotional dimension; the method further includes:

[0071] a2) In response to a first triggering operation on a plot chapter, displaying emotion distribution information of the plot chapter, the emotion distribution information being generated based on emotion prediction values ​​of the plot chapter under various emotion dimensions.

[0072] The first trigger operation can be understood as a trigger operation for presenting the sentiment distribution information for a plot chapter, and can include triggering operations such as clicking or sliding on a control in the plot chapter area for obtaining sentiment distribution information. Sentiment distribution information can be considered information that reflects the predicted sentiment values ​​for each sentiment dimension corresponding to a plot chapter. Sentiment distribution information can be presented in a graphical or table format, such as a multi-dimensional radar chart or bar graph.

[0073] In this embodiment, when the creator wants to understand in detail the audience's specific emotional status in multiple emotional dimensions after reading a certain plot chapter, such as whether they are more happy or more afraid, whether they are happy and expectant enough, or wants to know which emotional dimension has a relatively lacking emotional prediction value, or whether the emotional prediction of a certain emotional dimension meets expectations, etc., then the first trigger operation can be performed on the control displayed in the application software interaction interface for presenting the emotional distribution information of the plot chapter.

[0074] In this embodiment, in response to a first trigger operation for a plot chapter, the emotional distribution information for the plot chapter generated by the trained neural network model can be displayed in a pop-up window or by changing the page layout. The neural network model can be trained based on plot chapter samples and audience emotional intensity values ​​for each emotional dimension associated with the plot chapter samples. The plot chapter samples can include the content of the plot chapter.

[0075] As an optional example, obtaining the audience's emotional intensity value under each emotional dimension associated with the chapter plot sample can be described as: setting up a questionnaire for each chapter plot sample to obtain the audience's emotional intensity value under each emotional dimension; or obtaining and parsing the audience comments associated with the chapter plot sample, and extracting and analyzing the features and keywords corresponding to the emotions related to the emotional dimension under each emotional dimension, thereby obtaining the audience's emotional intensity value under each emotional dimension.

[0076] In this embodiment, based on the analysis of the emotion distribution information, the creator can know information such as whether each emotion prediction value has met expectations, which emotion dimension has a relatively low emotion prediction value, and which emotion dimension has a high emotion prediction value. Based on this information, the creator can efficiently carry out targeted creation to achieve the emotion prediction value of each emotion dimension presented by the emotion distribution information; or make targeted adjustments to the chapter content of the plot chapter to make each emotion prediction value in the emotion distribution information reach the expected value; and can also expand the creative content based on the analysis of the emotion distribution information of the plot chapter, such as writing a plot extra for the plot chapter where the emotion prediction value of the expected emotion dimension is high.

[0077] The above technical solution of this embodiment generates and displays the emotional distribution information of the plot chapter in response to the first trigger operation for the plot chapter, thereby analyzing each plot chapter from multiple emotional dimensions, allowing creators to efficiently judge the emotional prediction value status of each emotional dimension corresponding to the plot chapter, so as to carry out targeted creation, thereby further improving the creation efficiency and the quality of the creative content.

[0078] In order to better understand the emotion distribution information generated based on the emotion prediction values ​​of the plot chapters under various emotion dimensions in the above technical solution of this embodiment, a specific example is given here. Figure 4 This is a schematic diagram of the emotional distribution information in a method for assisting content creation provided by an embodiment of the present disclosure. Figure 4 As shown, in response to Figure 2 The first trigger action of the plot chapter 12 of the story plot line 1 shown in the Figure 3 The predicted emotional values ​​of plot chapter 12 in each emotional dimension (the predicted emotional values ​​in joy, expectation, anger and fear are 11.6, 32.9, 65.7 and 55.4 respectively) can be displayed as follows: Figure 4 The emotional distribution information of the plot chapter 12 in each emotional dimension is shown.

[0079] Optionally, based on the above implementation, the method may further include:

[0080] a3) In response to the chapter content adjustment for the plot chapter, the story plot line and the associated emotion change information are updated, and the emotion distribution information of the plot chapter is updated.

[0081] Among them, the chapter content can be understood as descriptive information about the story development of the generated plot chapter. The descriptive information can be considered as general descriptive information about the core plot included in the plot chapter. It can be considered that the chapter content is related to the core content in the plot chapter.

[0082] It is understandable that, based on similar reasons to those in a1) above, in order to respect the creator's wishes and improve the quality of the content, creators are supported in adjusting the content of plot chapters. As an optional implementation method, the creator can view the existing summary of the chapter content by triggering the control for presenting the chapter content of the plot chapter in the client's interactive interface. By triggering the control corresponding to the modified chapter content, a new interactive interface is presented through a pop-up window or other means to receive the input of the adjusted chapter content and related content such as the previous text synopsis. After the relevant content is input, the control related to the chapter content adjustment is triggered to update the chapter content.

[0083] In this embodiment, the chapter content is adjusted in response to the chapter content adjustment for the plot chapter. After the chapter content is adjusted, in order to ensure the continuity and rationality of the story line, the story line and the associated emotional change information are updated accordingly, and the emotional distribution information of the plot chapter is updated.

[0084] The above technical solution of this embodiment updates the story line and the associated emotional change information in real time in response to the chapter content adjustment for the plot chapters, and simultaneously updates the emotional distribution information of the plot chapters, thereby ensuring the matching of the chapter content, emotional change information and emotional distribution information in the story line, thereby providing creators with accurate, reliable and real-time audience emotion-related information, providing support for subsequent targeted creation and content adjustment, and improving the creator's interactive experience.

[0085] Based on the second optional embodiment, as one implementation manner, the method may further include:

[0086] a4) In response to a second triggering operation for a plot chapter, displaying a branch story line of the plot chapter and branch emotional change information of the branch story line.

[0087] Among them, the branch story line is generated based on the chapter content of the plot chapter, and is used to indicate the narrative rhythm and plot development of the content to be created in the plot chapter; the branch emotional change information is generated based on the branch story line, and is used to provide creation tips under the branch story line.

[0088] In this embodiment, the second triggering operation can be considered as a triggering operation for presenting a branch storyline of a plot chapter. The branch emotional change information can be understood as information that can reflect the emotional fluctuations experienced by the audience while reading the creative content written according to the branch storyline in an emotional dimension.

[0089] In this embodiment, the creator can also be provided with branch storylines for each plot chapter to better assist the creator in focusing on key plot chapters and further reduce the occurrence of writer's block or deviation from the chapter content. When a user performs a second trigger operation on the branch storyline display control in the plot chapter area of ​​the interactive interface, the branch storyline generated based on the chapter content of the plot chapter is displayed in response to the second trigger operation on the plot chapter.

[0090] Optionally, the creator may be presented with only one side story line that is closest to the emotional change information tone of the chapter plot; or multiple side story lines with different development tendencies and narrative rhythms may be presented for the creator to choose from, all of which can promote the development of the chapter content and / or story plot line.

[0091] In addition, in order to intuitively present to creators the impact of side story lines on the audience's emotional fluctuations, so that creators can choose their favorite side story lines or create in a targeted manner, corresponding side story line emotional change information is generated for each side story line and displayed. Creation prompts under the side story line can also be provided based on the side story line emotional change information.

[0092] It is understandable that a storyline has corresponding plot content, and accordingly, a branch storyline may also correspond to branch plot content; in addition, a branch storyline may include at least one story chapter. Therefore, in an optional embodiment, it may also include: in response to the branch plot content adjustment for the branch storyline, updating the branch storyline and the associated branch emotion change information; in an optional embodiment, it may also include: in response to the emotion distribution information display operation for the story chapter, displaying the emotion distribution information of the story chapter, wherein the emotion distribution information of the story chapter is generated based on the emotion prediction value of the story chapter under each emotion dimension; in response to the chapter content adjustment for the story chapter, updating the branch storyline and the associated branch emotion change information, and updating the emotion distribution information of the story chapter.

[0093] The above-mentioned technical solution of this embodiment, by responding to the second trigger operation for the plot chapter, provides the creator with reference side plot lines and branch emotional change information of the side story lines, so that the creator can conveniently and accurately choose the side plot lines they like more and grasp the impact of each side plot line on the audience's emotional changes, thereby further lowering the entry threshold of writing and the creator's selection cost, and improving the creation efficiency and the quality of the creative content.

[0094] As a third optional embodiment of this embodiment, the method of generating the emotional change information under a story plot line can be specifically optimized into the following steps:

[0095] a5) Determine the story chapters included in the storyline.

[0096] In this embodiment, the multiple story plot lines generated in the above manner can be used to directly determine which plot chapters are included in the story plot lines. It can be understood that the emotional change information can be determined for each story plot line using the method provided in this optional embodiment, and the included plot chapters can be determined first through this step.

[0097] b5) performing content analysis on the chapter contents of the plot chapters, and determining an emotion prediction value of the plot chapters in at least one emotion dimension according to the content analysis results.

[0098] It is understandable that in order to enable the creator to intuitively see the changes in the emotion change information as the story chapters in the story line develop, the emotion change information can be generated according to the development order of the story chapters.

[0099] In this embodiment, after determining the plot chapter, it is equivalent to obtaining the chapter description information of the plot chapter, and this embodiment records the chapter description information as the chapter content of the plot chapter. This embodiment can perform content analysis on the chapter content of each plot chapter through this step.

[0100] One implementation of content analysis can be described as follows: Feature extraction and word segmentation analysis are performed on the text within each chapter to obtain key information and keywords related to emotions. Then, sentiment dimensions are defined and the emotional tone of the content analysis results is analyzed, taking into account the context of the chapter content. Finally, based on the analyzed emotional tone and pre-defined scoring rules, the plot chapters are scored on the pre-defined sentiment dimensions to determine the predicted sentiment value for each plot chapter under each pre-defined sentiment dimension.

[0101] c5) generating, based on the emotion prediction values ​​under each emotion dimension, emotion change information of the story plot line under the corresponding emotion dimension.

[0102] In this embodiment, after determining the emotional prediction value of each plot chapter under each set emotional dimension, the emotional prediction value of each plot chapter in the story line under the emotional dimension can be linked according to the development order of the plot chapters for each set emotional dimension, thereby generating emotional change information of the story line under the emotional dimension.

[0103] In an optional embodiment, the emotional distribution information of the plot chapters can also be generated based on the emotional prediction values ​​of the plot chapters under each emotional dimension. For example, a story line can include multiple plot chapters, and the emotional prediction values ​​of different emotional dimensions under a plot chapter can be obtained. Since different emotional dimensions respectively represent an emotion of the audience, this embodiment can determine the emotional distribution analysis through the emotional prediction values ​​of the plot chapters under different emotional dimensions. The emotional distribution information can be considered as the emotional distribution of the various emotions generated by the audience after browsing the story involved in the plot chapter. The emotional distribution information contains the emotional prediction values ​​of each emotional dimension. The size of the emotional prediction value can clearly indicate the strength of the emotions that the audience can generate.

[0104] The above technical solution of this embodiment generates emotional change information of the story line under the corresponding emotional dimension based on the emotional prediction value of each plot chapter in the story line under each emotional dimension, so that the emotional change information can accurately reflect the emotional prediction value and emotional change trend corresponding to each plot chapter under the corresponding emotional dimension, thereby improving the accuracy and convenience of the creator in grasping the emotional fluctuations of the audience during the reading process through the emotional change information, and can better provide the creator with more intuitive and targeted creation prompts to improve the auxiliary performance of assisted creation.

[0105] As a fourth optional embodiment of this embodiment, the method of generating the emotional change information of a story line can be concretely implemented as the following steps:

[0106] a6) inputting the plot content of the story plot line into an emotion prediction model to obtain emotion change information generated by the emotion prediction model under at least one emotion dimension.

[0107] In this embodiment, the emotion prediction model can be obtained by training a neural network model using sample data. The trained emotion prediction model can be used to process the input plot content to obtain emotional change information for the storyline under different emotional dimensions. Using the emotion prediction model to determine emotional change information improves the efficiency of generating emotional change information and reduces the consumption of computing resources.

[0108] As one of the implementation methods, the training method of the sentiment prediction model can be further optimized into the following steps:

[0109] a61) obtaining a plurality of predetermined groups of sample data, each group of sample data including a sample plot line of sample content and information on audience emotions changes in at least one emotional dimension.

[0110] In this embodiment, each set of sample data may include a sample plot line of sample content and information on audience emotion changes under at least one emotional dimension, and may also include sample content, a sample plot line of sample content and information on audience emotion changes under at least one emotional dimension.

[0111] In this embodiment, one implementation method for determining sample data may be: first, the published creative content may be collected, and each creative content may be regarded as a sample content. The sample content may then be parsed, segmented, feature extracted, and word segmented. The processing results may be used to determine the key plot content contained in the sample content, and each key plot content may be regarded as a plot chapter. The chapter content of the plot chapter may be formed by summarizing the key plot content. Finally, a sample plot line containing each plot chapter may be formed corresponding to the sample content.

[0112] Continuing with the above description, the published creative content, i.e., the sample content, can be provided to the audience for reading and browsing. This allows the audience to obtain browsing feedback information after reading and browsing according to the plot development sequence in the sample plot line. The browsing feedback information may include the audience's post-reading evaluation information of the sample content, such as the rating value, the number of likes, and the number of requests for updates, etc., and the evaluation text or even the evaluation voice or evaluation video may also be obtained. This embodiment can process the browsing feedback information, such as semantic segmentation, feature extraction, word segmentation analysis, and sentiment analysis. After performing the above processing, based on the preset scoring rules, the emotional data of the comment information under at least one emotional dimension can be obtained. Finally, based on the emotional data, the audience emotional change information corresponding to the sample plot line can be generated.

[0113] As an optional implementation, a set of sample data can be formed based on a sample plot line of sample content and information about changes in audience emotion under at least one emotional dimension. As another optional implementation, a set of sample data can be formed based on sample content, a sample plot line of the sample content, and information about changes in audience emotion under at least one emotional dimension. In this embodiment, the sample content and sample plot line can be considered as input information for the emotion prediction model, and the audience emotion change information can be considered as label information for the emotion change information.

[0114] Specifically, based on the above embodiment, this embodiment can optimize the method of determining sample data into the following steps:

[0115] a611) Obtaining sample content, and determining multiple key plot contents of the sample content based on content analysis of the sample content.

[0116] Sample content can include completed literary works such as online articles, short stories, and screenplays. Key plot points can include the story's starting event, essential developments, turning points, climax, and ending.

[0117] In this embodiment, the sample content can be parsed and sorted through semantic segmentation, feature extraction, and word segmentation analysis to determine the key plot content contained in the sample content; the key plot content contained in the sample content can also be determined by parsing the directory contained in the sample content; the sample content can also be input into a trained parsing model to determine the key plot content contained in the sample content.

[0118] a612) Generating a plurality of plot chapters of the sample content according to the plurality of key plot contents, and generating a sample plot line of the sample content based on the plurality of plot chapters.

[0119] In this embodiment, one way to generate plot chapters may be to divide the key plot content according to chronological order, logical order, and chapter functions (such as introducing background, developing conflict, revealing the truth, and / or resolving conflict). One or more key plot contents may be divided into one plot chapter, and a simple and clear title that can express the core content may be set for each plot chapter, thereby generating multiple plot chapters of sample content.

[0120] Another method for generating plot chapters may be to obtain key plot content and its titles from the table of contents to generate multiple plot chapters of sample content. Still another method for generating plot chapters may be to input key plot content into a trained neural network model, or to input sample content and key plot content into a trained neural network model to generate multiple plot chapters of sample content.

[0121] In this embodiment, a sample plot line of the sample content can be generated by sorting and linking multiple plot chapters in the order of plot development and presenting the title of each plot chapter; or a sample plot line of the sample content can be constructed by extracting key information from each plot chapter.

[0122] a613) Determining audience emotion change information of the sample data in at least one emotion dimension based on the emotion data of the audience in at least one emotion dimension when the audience reads the sample content.

[0123] In this embodiment, the method of obtaining the emotional data of the audience group under at least one emotional dimension during the sample content reading process can be: obtaining the audience group's evaluation information on each plot chapter in the sample content, and parsing and emotionally analyzing the evaluation information under the set dimension, thereby obtaining the audience's emotional data under the set emotional dimension.

[0124] For example, evaluation information may include data such as ratings, number of likes, and number of requests for updates. Based on this data, the audience's emotional data under the expected emotional dimension can be determined. Evaluation information may also include comments on plot chapters or specific plot content within plot chapters. Comments can be in the form of text (such as "I'm so angry," "That's so cool," "I was so scared," "I rolled on the bed laughing," and "I feel so sorry for the heroine!"), voice, and images (such as "snickering," "crying," "angry," and "terrified." Based on analysis of the comments, the audience's emotional data under various emotional dimensions can be determined.

[0125] In this embodiment, the emotional data of the audience in at least one emotional dimension when viewing the sample content are arranged in the order of plot development, thereby forming the audience's emotional change information.

[0126] a62) performing iterative training on the initially constructed prediction model based on the sample plot lines and audience emotion change information in each of the sample data, in combination with a given loss function, and determining the prediction model obtained after the iteration end condition is met as the emotion prediction model.

[0127] In this embodiment, loss functions suitable for regression tasks, such as mean squared error, mean absolute error, and root mean squared error, can be selected. The audience's emotional change information and the predicted information output by the prediction model after a single processing step can be considered actual emotional change information. By combining this information with a given loss function, adaptive reverse learning can be performed on the prediction model to adjust network parameters.

[0128] After adjusting the network parameters, the prediction model can be retrained using sample data in a new round of iterations until the end of the iteration is reached. The end of the iteration can be set based on accuracy, number of iterations, or change in loss.

[0129] In an optional embodiment, in addition to the sample plot lines and audience emotion change information in the sample data, sample content may be added to improve the accuracy of the emotion prediction model.

[0130] The above technical solution of this embodiment obtains an accurate and reliable emotion prediction model by pre-training the prediction model using sample data, thereby improving the accuracy and efficiency of the emotion change information generated by the emotion prediction model.

[0131] As a fifth optional embodiment of this embodiment, the method further includes:

[0132] a7) generating, based on the emotional change information of the storyline, creation prompt information for creating the content to be created under the storyline; the creation prompt information includes story worldview prompts, story style prompts, story conflict point prompts, character appearance timing prompts, and audience group prompts.

[0133] For example, story worldview hints can include hints for the setting time, such as ancient times or modern times, and the story location, such as an island or a village. Story genre hints can include suspense, fantasy, science fiction, fictional, historical, urban, time travel, martial arts, comedy, tragedy, etc. Story conflict hints can include which chapter the conflict is introduced in, what type of conflict it is, and what it is based on.

[0134] In this embodiment, in order to make the content to be created more consistent with the emotional change information of the generated story line, corresponding creation prompt information can be generated for the entire story line or each plot chapter based on the emotional change information to assist the creator in creating the content in a targeted manner, ensuring that the impact of the content written according to the story line on the audience's emotional changes can be as consistent as possible with the emotional change information, thereby further improving the creator's creative efficiency and the popularity of the creative content, and lowering the entry threshold for writing.

[0135] For example, when the emotional change information of the expectation emotional dimension and the emotional change information of the joy emotional dimension corresponding to a certain plot chapter are both high, the creative prompt information generated for the plot chapter may include prompts for the appearance of new characters, turning points in events, and the addition of fighting and defeating villains.

[0136] As one implementation method, the emotional change information of the storyline can be used to generate creation prompt information for the content to be created below the storyline, which can be further optimized into the following steps:

[0137] a71) Acquire set prompt generation description information, wherein the prompt generation description information includes a generation description of at least one prompt dimension.

[0138] The generated description information can be considered as information describing the prompt dimensions corresponding to the generated prompt information, and is used to prompt the model to generate creative prompt information under the corresponding prompt dimensions. Prompt dimensions can include story worldview prompt dimensions, story style prompt dimensions, story conflict prompt dimensions, character appearance timing prompt dimensions, and audience group prompt dimensions.

[0139] In this embodiment, the prompt generation information can be set by the creator through input or selection in the operation area, or it can be automatically set by the system based on the initial setting information.

[0140] a72) Inputting the prompt generation description information and the emotional change information into the model to obtain the creation prompt information output by the model.

[0141] In this embodiment, the model can be trained based on the generated description information and the audience's emotional change information. By inputting the generated description information and the emotional change information into the model, the model outputs creative prompt information that conforms to the prompt dimensions included in the generated description information. The creative prompt information can be relative to the storyline or to each plot chapter within the storyline.

[0142] The above technical solution of this embodiment improves the efficiency of generating creation prompt information and reduces the consumption of computing resources by inputting prompt generation description information and emotion change information into the model to obtain creation prompt information output by the model.

[0143] As one implementation of any of the above embodiments, the emotional dimension of the emotional change information is selected from the Plutchik emotion wheel, and the emotional dimension includes joy, fear, expectation and anger.

[0144] In this embodiment, the emotional dimension of the emotional change information can be selected from the main emotional dimension in the Plutchik emotion wheel, because the main emotional dimension can intuitively and quickly indicate the individual's reaction when facing an emergency.

[0145] As one implementation of any of the above embodiments, the content story framework includes content name, target audience, content style, protagonist information, supporting role information, villain information, and plot summary.

[0146] In order to better understand the method for assisting content creation provided by this embodiment, a specific example is given here. Figure 5 This is a flow chart of a method for assisting content creation provided by an embodiment of the present disclosure. Figure 5 As shown, the method for assisting content creation provided by the embodiment of the present disclosure may specifically include:

[0147] S51: Receive a content story framework input for the creative content. The content story framework includes the content title, target audience, content style, information about the protagonist, supporting characters, villain, and plot summary.

[0148] S52 : In response to a content story framework input for the content to be created, generate multiple story plot lines based on the content story framework, where each story plot line includes at least one story chapter.

[0149] S53. Display multiple story plot lines and predicted emotional change information corresponding to the story plot lines.

[0150] It is understandable that the multiple story lines displayed above can indicate different narrative rhythms and plot developments for the creator; the corresponding emotional change information displayed can provide creative tips for the creator when creating under the relevant story lines.

[0151] S54: In response to the plot content adjustment for the story plot line, update the story plot line and the associated emotion change information.

[0152] In this embodiment, an update-related step execution can be given through the displayed story plot line and emotional change information, and the steps include S55-S56.

[0153] S55 . In response to a first triggering operation on a plot chapter, display emotion distribution information of the plot chapter based on the emotion change information.

[0154] S56: In response to the chapter content adjustment for the plot chapter, update the story line and the associated emotional change information, and update the emotional distribution information of the plot chapter

[0155] Through the displayed storyline and emotional change information, a branch storyline-related step execution can also be given, and the steps include S57-S58.

[0156] S57. In response to the second triggering operation for the plot chapter, display the branch story line of the plot chapter and the branch emotional change information of the branch story line.

[0157] S58. In response to the adjustment of the branch plot content of the branch story line, update the branch story line and the associated branch emotion change information.

[0158] Figure 6 A schematic diagram of the structure of a device for assisting content creation provided by an embodiment of the present disclosure is given. Figure 6 As shown, the device includes: a generating module 61 and a display module 62;

[0159] A generating module 61 is configured to generate a plurality of story plot lines based on a content story framework input for the content to be created, wherein the plurality of story plot lines are used to indicate different narrative rhythms and plot developments;

[0160] The display module 62 is used to display multiple story plot lines and the predicted emotional change information corresponding to the story plot lines, and the emotional change information is used to provide creation tips for the content to be created under the associated story plot lines.

[0161] The above technical solution of the embodiment of the present disclosure, by responding to the content story framework input for the content to be created, generates multiple story plot lines based on the content story framework, and the multiple story plot lines are used to indicate different narrative rhythms and plot developments; displays multiple story plot lines and the emotional change information predicted for the corresponding story plot lines, and the emotional change information is used to provide creation prompts for the content to be created under the associated story plot lines. Utilizing this method, by generating and displaying multiple story plot lines indicating different narrative rhythms and plot developments based on the input content story framework, creators are efficiently and conveniently provided with a creative reference basis with rich plot changes, and by displaying the emotional change information predicted for the corresponding story plot lines, creators can quickly and accurately understand the emotional changes in different emotional dimensions of the audience after seeing the creative content written according to the story plot lines, so that they can carry out targeted story plot line selection and content creation, thereby improving creation efficiency, reducing selection costs, improving the quality and popularity of the creative content, and lowering the entry threshold for writing.

[0162] Furthermore, the apparatus further includes a first update module, which can be specifically configured to:

[0163] In response to adjustments to the plot content of a storyline, the storyline and associated emotional change information are updated; wherein, after the update, the narrative rhythm and plot development indicated by the storyline are adjusted, and the creative prompts provided by the emotional change information are adjusted.

[0164] Furthermore, a story plot line includes at least one plot chapter, and the emotional change information of the story plot line includes emotional prediction values ​​corresponding to each of the plot chapters; the emotional change information indicates the audience's emotional change trend through each of the emotional prediction values.

[0165] Furthermore, a story plot line corresponds to emotional change information under at least one emotional dimension; the device also includes an information display module, which can be specifically used to:

[0166] In response to a first triggering operation on a plot chapter, emotion distribution information of the plot chapter is displayed, where the emotion distribution information is generated based on emotion prediction values ​​of the plot chapter in each emotion dimension.

[0167] Furthermore, the apparatus further includes a second update module, and the second update module can be specifically configured to:

[0168] In response to the chapter content adjustment for the plot chapter, the story plot line and the associated emotion change information are updated, and the emotion distribution information of the plot chapter is updated.

[0169] Furthermore, the device further includes a branch line display module, which can be specifically used to:

[0170] In response to a second triggering operation on a plot chapter, displaying a branch story line of the plot chapter and branch emotional change information of the branch story line;

[0171] The branch story line is generated based on the chapter content of the plot chapter, and is used to indicate the narrative rhythm and plot development of the content to be created in the plot chapter;

[0172] The branch emotional change information is generated based on the branch story line and is used to provide creative tips under the branch story line.

[0173] Furthermore, the device further includes a first information generating module, and the first information generating module can be specifically configured to:

[0174] Determine the plot chapters included in the storyline;

[0175] Performing content analysis on the chapter content of the plot chapter, and determining an emotional prediction value of the plot chapter in at least one emotional dimension according to the content analysis result;

[0176] According to the emotion prediction value under each emotion dimension, the emotion change information of the story plot line under the corresponding emotion dimension is generated.

[0177] Furthermore, the device further includes a second information generating module, and the second information generating module can be specifically configured to:

[0178] The plot content of the story plot line is input into an emotion prediction model to obtain emotion change information generated by the emotion prediction model under at least one emotion dimension.

[0179] Furthermore, the device also includes a model training module, which can be specifically used to:

[0180] Obtaining a plurality of predetermined groups of sample data, each group of sample data including a sample plot line of sample content and information on audience emotion changes in at least one emotion dimension;

[0181] According to the sample plot lines and audience emotion change information in each of the sample data, combined with a given loss function, the initially constructed prediction model is iteratively trained, and the prediction model obtained after the iteration end condition is met is determined as the emotion prediction model.

[0182] Furthermore, the apparatus further includes a sample data determination module, which can be specifically configured to:

[0183] Obtaining sample content, and determining multiple key plot contents of the sample content based on content analysis of the sample content;

[0184] Generating a plurality of plot chapters of the sample content according to the plurality of key plot contents, and generating a sample plot line of the sample content based on the plurality of plot chapters;

[0185] According to the emotional data of the audience in at least one emotional dimension when the audience reads the sample content, the audience's emotional change information in at least one emotional dimension of the sample data is determined.

[0186] Furthermore, the device also includes a prompt information generating module;

[0187] Among them, the prompt information generation module is used to generate creation prompt information for the creation of the content to be created under the story line based on the emotional change information of the story line; the creation prompt information includes story world view prompts, story style prompts, story conflict point prompts, character appearance timing prompts, and audience group prompts.

[0188] Furthermore, the prompt information generation module can be specifically used to:

[0189] Acquire set prompt generation description information, wherein the prompt generation description information includes a generation description of at least one prompt dimension;

[0190] The prompt generation description information and the emotion change information are input into the model to obtain the creation prompt information output by the model.

[0191] Furthermore, the emotional dimension of the emotional change information is selected from the Plutchik emotion wheel, and the emotional dimension includes joy, fear, expectation and anger.

[0192] Furthermore, the content story framework includes the content name, target audience, content style, protagonist information, supporting role information, villain information and plot summary.

[0193] The device for assisting content creation provided by the embodiments of the present disclosure can execute the method for assisting content creation provided by any embodiment of the present disclosure, and has functional modules and beneficial effects corresponding to the execution method.

[0194] It is worth noting that the various units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present disclosure.

[0195] Figure 7A schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure is given below. Figure 7 , which shows an electronic device (eg Figure 7 The terminal device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (such as in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0196] like Figure 7 As shown, the electronic device 700 may include a processing system (e.g., a central processing unit, a graphics processing unit, etc.) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage system 708 into a random access memory (RAM) 703. Various programs and data required for the operation of the electronic device 700 are also stored in the RAM 703. The processing system 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An edit / output (I / O) interface 705 is also connected to the bus 704.

[0197] Typically, the following systems may be connected to the I / O interface 705: an input system 706 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output system 707 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage system 708 including, for example, a magnetic tape, a hard disk, etc.; and a communication system 709. The communication system 709 may allow the electronic device 700 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 7 The electronic device 700 is shown with various systems, but it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented or have instead.

[0198] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication system 709, or installed from the storage system 708, or installed from the ROM 702. When the computer program is executed by the processing system 701, the above-mentioned functions defined in the method of the embodiment of the present disclosure are performed.

[0199] The names of the messages or information exchanged between multiple systems in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0200] The electronic device provided by the embodiment of the present disclosure and the method for assisting content creation provided by the above embodiment belong to the same inventive concept. Technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0201] An embodiment of the present disclosure provides a computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for assisting content creation provided by the above embodiment.

[0202] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or convey a program for use by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable medium may be conveyed using any suitable medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0203] In some embodiments, the client and server can communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0204] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0205] The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: receives a trigger operation for the page editing component in the first interface, and displays a second interface, wherein the second interface includes a page preview area and a page content configuration area, the page preview area presents an initial page, the page content configuration area includes at least one page content configuration entry, the initial page includes a content to be filled position to be filled with content, and the page content configuration entry is associated with the content to be filled position; receives an editing operation for the page content configuration entry, and presents a target page corresponding to the edited page content configuration entry in the page preview area.

[0206] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including, but not limited to, object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0207] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0208] The units involved in the embodiments described in this disclosure may be implemented in software or hardware. In some cases, the name of a unit does not limit the unit itself. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses."

[0209] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0210] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, system, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0211] According to one or more embodiments of the present disclosure, [Example 1] provides a method for assisting content creation, which includes: in response to a content story framework input for content to be created, generating multiple story lines based on the content story framework, and the multiple story lines are used to indicate different narrative rhythms and plot developments; displaying the multiple story lines and emotional change information predicted for the corresponding story lines, and the emotional change information is used to provide creation prompts for the content to be created under the associated story lines.

[0212] According to one or more embodiments of the present disclosure, [Example 2] provides a method for assisting content creation, which is further optimized to include: updating the story line and associated emotional change information in response to adjustments to the plot content of the story line; wherein, after the update, the narrative rhythm and plot development indicated by the story line are adjusted, and the creation prompts provided by the emotional change information are adjusted after the update.

[0213] According to one or more embodiments of the present disclosure, [Example Three] provides a method for assisting content creation, wherein a story plot line includes at least one plot chapter, and the emotional change information of the story plot line includes an emotional prediction value corresponding to each of the plot chapters; the emotional change information indicates the audience's emotional change trend through each of the emotional prediction values.

[0214] According to one or more embodiments of the present disclosure, [Example 4] provides a method for assisting content creation, wherein a story plot line corresponds to emotional change information under at least one emotional dimension; the method is further optimized to include: in response to a first trigger operation for a plot chapter, displaying the emotional distribution information of the plot chapter, wherein the emotional distribution information is generated based on the emotional prediction value of the plot chapter under each emotional dimension.

[0215] According to one or more embodiments of the present disclosure, [Example Five] provides a method for assisting content creation, which is further optimized to include: updating the story plot line and associated emotional change information in response to chapter content adjustments for plot chapters, and updating the emotional distribution information of the plot chapters.

[0216] According to one or more embodiments of the present disclosure, [Example Six] provides a method for assisting content creation, which is further optimized to include: in response to a second trigger operation for a plot chapter, displaying a branch story line of the plot chapter and branch emotional change information of the branch story line; wherein the branch story line is generated based on the chapter content of the plot chapter, and is used to indicate the narrative rhythm and plot development of the content to be created in the plot chapter; the branch emotional change information is generated based on the branch story line, and is used to provide creation prompts under the branch story line.

[0217] According to one or more embodiments of the present disclosure, [Example 7] provides a method for assisting content creation, in which the method for generating emotional change information under a story plot line is optimized to include: determining the plot chapters included in the story plot line; performing content analysis on the chapter content of the plot chapters, and determining the emotional prediction value of the plot chapters under at least one emotional dimension based on the content analysis results; and generating emotional change information of the story plot line under the corresponding emotional dimension based on the emotional prediction value under each emotional dimension.

[0218] According to one or more embodiments of the present disclosure, [Example Eight] provides a method for assisting content creation, in which the method for generating emotional change information under a story line is optimized to include: inputting the plot content of the story line into an emotional prediction model, and obtaining the emotional change information generated by the emotional prediction model under at least one emotional dimension.

[0219] According to one or more embodiments of the present disclosure, [Example Nine] provides a method for assisting content creation, in which the training method of the emotion prediction model described in the method is optimized, including: obtaining a plurality of predetermined groups of sample data, each group of sample data including a sample plot line of the sample content and audience emotion change information under at least one emotional dimension; based on the sample plot line and audience emotion change information in each of the sample data, combined with a given loss function, iteratively training the initially constructed prediction model, and determining the prediction model obtained after the iteration end condition is met as the emotion prediction model.

[0220] According to one or more embodiments of the present disclosure, [Example 10] provides a method for assisting content creation, in which the method for determining sample data is optimized to include: obtaining sample content, and determining multiple key plot contents of the sample content based on content analysis of the sample content; generating multiple plot chapters of the sample content according to the multiple key plot contents, and generating sample plot lines of the sample content based on the multiple plot chapters; and determining audience emotion change information of the sample data under at least one emotional dimension based on emotional data of the audience under at least one emotional dimension when the audience reads the sample content.

[0221] According to one or more embodiments of the present disclosure, [Example 11] provides a method for assisting content creation, which is further optimized to include: generating creation prompt information for creating the content to be created under the story line based on the emotional change information of the story line; the creation prompt information includes story world view prompts, story style prompts, story conflict point prompts, character appearance timing prompts, and audience group prompts.

[0222] According to one or more embodiments of the present disclosure, [Example 12] provides a method for assisting content creation, in which the method generates creation prompt information for creating the content to be created under the story line based on the emotional change information of the story line, and the optimization includes: obtaining set prompt generation description information, the prompt generation description information includes a generation description of at least one prompt dimension; inputting the prompt generation description information and the emotional change information into a model to obtain the creation prompt information output by the model.

[0223] According to one or more embodiments of the present disclosure, [Example 13] provides a method for assisting content creation, wherein the emotional dimension of the emotional change information is selected from the Plutchik emotion wheel, and the emotional dimension includes joy, fear, expectation, and anger.

[0224] According to one or more embodiments of the present disclosure, [Example 14] provides a method for assisting content creation, wherein the content story framework includes content name, target audience, content style, protagonist information, supporting role information, villain information, and plot summary.

[0225] According to one or more embodiments of the present disclosure, [Example 15] provides a device for assisting content creation, which includes: a generation module for generating multiple story lines based on the content story framework in response to a content story framework input for the content to be created, wherein the multiple story lines are used to indicate different narrative rhythms and plot developments; a display module for displaying the multiple story lines and emotional change information predicted for the corresponding story lines, wherein the emotional change information is used to provide creation prompts for the content to be created under the associated story lines.

[0226] The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also includes other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the above-mentioned disclosed concepts. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this disclosure.

[0227] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details have been included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0228] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. A method for assisting content creation, characterized in that: include: In response to a content story framework input for the content to be created, generating a plurality of story plot lines based on the content story framework, wherein the plurality of story plot lines are used to indicate different narrative rhythms and plot developments; A plurality of the story plot lines and the predicted emotional change information corresponding to the story plot lines are displayed, and the emotional change information is used to provide creation prompts for the content to be created under the associated story plot lines.

2. The method according to claim 1, characterized in that Also includes: In response to adjustments to the plot content of a storyline, updating the storyline and associated emotion change information; Among them, the narrative rhythm and plot development indicated by the story line are adjusted after the update, and the creative prompts provided by the emotional change information are adjusted after the update.

3. The method according to claim 1, characterized in that A story plot line includes at least one plot chapter, and the emotional change information of the story plot line includes the emotional prediction value corresponding to each plot chapter; The emotion change information indicates the audience's emotion change trend through each emotion prediction value.

4. The method according to claim 3, characterized in that A storyline corresponds to emotional change information under at least one emotional dimension; The method further comprises: In response to a first triggering operation on a plot chapter, emotion distribution information of the plot chapter is displayed, where the emotion distribution information is generated based on emotion prediction values ​​of the plot chapter in each emotion dimension.

5. The method according to claim 4, characterized in that Also includes: In response to the chapter content adjustment for the plot chapter, the story plot line and the associated emotion change information are updated, and the emotion distribution information of the plot chapter is updated.

6. The method according to claim 3, characterized in that Also includes: In response to a second triggering operation on a plot chapter, displaying a branch story line of the plot chapter and branch emotional change information of the branch story line; The branch story line is generated based on the chapter content of the plot chapter, and is used to indicate the narrative rhythm and plot development of the content to be created in the plot chapter; The branch emotional change information is generated based on the branch story line and is used to provide creative tips under the branch story line.

7. The method according to claim 1, characterized in that The methods for generating emotional change information along a storyline include: Determine the plot chapters included in the storyline; Performing content analysis on the chapter content of the plot chapter, and determining an emotional prediction value of the plot chapter in at least one emotional dimension according to the content analysis result; According to the emotion prediction value under each emotion dimension, the emotion change information of the story plot line under the corresponding emotion dimension is generated.

8. The method according to claim 1, characterized in that The methods for generating emotional change information along a storyline include: The plot content of the story plot line is input into an emotion prediction model to obtain emotion change information generated by the emotion prediction model under at least one emotion dimension.

9. The method according to claim 8, characterized in that The training method of the emotion prediction model includes: Obtaining a plurality of predetermined groups of sample data, each group of sample data including a sample plot line of sample content and information on audience emotion changes in at least one emotion dimension; According to the sample plot lines and audience emotion change information in each of the sample data, combined with a given loss function, the initially constructed prediction model is iteratively trained, and the prediction model obtained after the iteration end condition is met is determined as the emotion prediction model.

10. The method according to claim 9, characterized in that The sample data can be determined by: Obtaining sample content, and determining multiple key plot contents of the sample content based on content analysis of the sample content; Generating a plurality of plot chapters of the sample content according to the plurality of key plot contents, and generating a sample plot line of the sample content based on the plurality of plot chapters; According to the emotional data of the audience in at least one emotional dimension when the audience reads the sample content, the audience's emotional change information in at least one emotional dimension of the sample data is determined.

11. The method according to claim 1, wherein Also includes: Generating creation prompt information for creating the content to be created below the storyline based on the emotional change information of the storyline; The creation prompt information includes story world view prompts, story style prompts, story conflict point prompts, character appearance timing prompts, and audience group prompts.

12. The method according to claim 11, characterized in that The generating of creation prompt information for creating the content to be created under the storyline based on the emotional change information of the storyline includes: Acquire set prompt generation description information, wherein the prompt generation description information includes a generation description of at least one prompt dimension; The prompt generation description information and the emotion change information are input into the model to obtain the creation prompt information output by the model.

13. The method according to any one of claims 1 to 12, characterized in that The emotional dimension of the emotional change information is selected from the Plutchik emotion wheel, and the emotional dimension includes joy, fear, expectation and anger.

14. The method according to any one of claims 1 to 12, characterized in that The content story framework includes the content name, target audience, content style, protagonist information, supporting role information, villain information and plot summary.

15. A device for assisting content creation, characterized in that: include: A generating module, configured to generate a plurality of story plot lines based on a content story framework input for the content to be created, in response to the content story framework input, wherein the plurality of story plot lines are used to indicate different narrative rhythms and plot developments; A display module is used to display multiple story lines and emotional change information predicted corresponding to the story lines, and the emotional change information is used to provide creation tips for the content to be created under the associated story lines.

16. An electronic device, characterized in that: The electronic device comprises: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method for assisting content creation as described in any one of claims 1-14.

17. A storage medium containing computer-executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, they are used to perform the method for assisting content creation as described in any one of claims 1-14.

18. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the method for assisting content creation according to any one of claims 1 to 14.

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