Strategy content co-creation method and system based on artificial intelligence

Abstract

The invention relates to the technical field of Internet, and discloses a strategy content co-creation method and system based on artificial intelligence, and the method comprises the steps: displaying a content analysis page used for AI strategy note co-creation and aiming at a target analysis object; in response to a questioning trigger operation on the analysis questioning component, displaying questioning analysis content corresponding to the target analysis object on the content analysis page; displaying a note editing page used for AI strategy note co-creation; and in response to an editing trigger operation on the note title editing component, displaying the policy note title content in the note title area, and / or in response to an insertion note trigger operation for the question analysis content, displaying the question analysis content in the note body area to obtain a target co-created policy note. Therefore, the generation accuracy, the generation reliability, the generation efficiency and the generation convenience of the target co-creation strategy note can be improved, so that the co-creation experience of the user on the strategy note is improved.

Description

Technical Field

[0001] This invention relates to the field of Internet technology, and in particular to a method and system for co-creating strategic content based on artificial intelligence. Background Technology

[0002] With the rapid development of internet technology and the widespread adoption of digital marketing, the advertising industry has ushered in an unprecedented era of data explosion, making the formulation of advertising strategies crucial for brand development.

[0003] However, practice shows that existing advertising strategy generation methods primarily rely on manual data analysis and subjective strategy creation. Users need to spend significant time and effort sifting through massive amounts of data to sift through, organize, and analyze valuable information to understand the characteristics, needs, and preferences of the target audience, as well as the competitive landscape and potential opportunities in the market. Furthermore, manual analysis often only focuses on some obvious information, easily overlooking those key factors hidden at a deeper level. All of these factors can negatively impact the advertising strategy generation process and its results, leading to low accuracy and efficiency. Therefore, providing a method to improve the accuracy and efficiency of advertising strategy generation is particularly important. Summary of the Invention

[0004] This invention provides a method and system for co-creating strategy content based on artificial intelligence, which can improve the accuracy and efficiency of strategy note generation, thereby enhancing the user experience.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a strategy content co-creation method based on artificial intelligence, the method comprising: Displays a content analysis page for AI strategy note co-creation and targeting analysis objects, the content analysis page having an analysis question component for the target analysis object; In response to a question-triggered operation on the analysis question component, the question analysis content corresponding to the target analysis object is displayed on the content analysis page; Displays a note editing page for AI strategy note co-creation. The note editing page has a note title editing component and a note body editing component, and the note editing page has a note title area and a note body area. In response to an edit trigger operation on the note title editing component, the strategy note title content is displayed in the note title area, and / or, in response to an insert note trigger operation on the question analysis content, the question analysis content is displayed in the note body area, thus obtaining the target co-creation strategy note.

[0006] As an optional implementation, in the first aspect of the present invention, the method further includes: The display strategy notes co-creation application's analysis object selection page includes an analysis object selection component. In response to an object selection trigger operation of the analysis object selection component, a relevant material display page for the target analysis object is displayed, and the relevant material display page has a note creation entry component; In response to the creation trigger operation of the note creation entry component, the step of displaying the content analysis page for AI strategy note co-creation and targeting the analysis object is triggered.

[0007] As an optional implementation, in a first aspect of the invention, after displaying the strategy note title content in the note title area in response to an edit trigger operation on the note title editing component, and / or displaying the question analysis content in the note body area in response to an insert note trigger operation for the question analysis content, thereby obtaining the target co-creation strategy note, the method further includes: In response to the save trigger operation of the target co-creation strategy note, and / or, perform the corresponding automatic save operation on the target co-creation strategy note to obtain the saved strategy note; Furthermore, the note editing page also includes an entry point to the note storage page, and the method further includes: In response to a triggering operation on the entry point of the note storage page, the note storage page is displayed, the note storage page including one or more saved strategy notes; In response to the display trigger operation for the target saved strategy note among all the saved strategy notes, the matching note content and matching question analysis content corresponding to the target saved strategy note are displayed.

[0008] As an optional implementation, in a first aspect of the invention, the response to the object selection triggering operation on the analysis object selection component includes: In response to the keyword input operation of the analysis object selection component, an object selection pop-up window is displayed; The object selection pop-up window displays one or more selectable analysis objects and their corresponding object-related material display entries; In response to the selection trigger operation corresponding to the object-related material display entry of the target analysis object among all the analysis objects, the step of displaying the relevant material display page for the target analysis object is triggered; Furthermore, the content analysis page includes a recommended question content area and / or an input question content area, and the question triggering operation in response to the analysis question component includes: The recommended question content area on the content analysis page displays recommended question content components based on the target analysis object, and in response to a question triggering operation for any of the recommended question content components, obtains question analysis content, triggering the execution of the step of displaying the question analysis content corresponding to the target analysis object on the content analysis page; and / or, In response to the input of a question in the input question area, the question analysis content is obtained, triggering the execution of the step of displaying the question analysis content corresponding to the target analysis object on the content analysis page.

[0009] As an optional implementation, in a first aspect of the invention, after the question triggering operation in response to the questioning component and before the question analysis content corresponding to the target analysis object is displayed on the content analysis page, the method further includes: Based on the question triggering operation, determine the question content corresponding to the target analysis object; Determine the associated video material information corresponding to the target analysis object, and determine the question context information corresponding to the target analysis object based on the associated video material information; The question content and the question context information are input into a large model that has been trained and converged for analysis to obtain the question analysis content corresponding to the target analysis object.

[0010] As an optional implementation, in the first aspect of the present invention, determining the question context information corresponding to the target analysis object based on the associated video material information includes: The associated video material information is processed by performing corresponding audio track separation operations to obtain audio material information, and the audio material information is processed by performing corresponding frame segmentation and acoustic feature extraction operations to obtain acoustic characteristic information. The acoustic signature information is input into a trained and converged acoustic model for analysis to obtain phoneme / syllable recognition results. The phoneme / syllable recognition results are then input into a pre-trained and converged language model for analysis to obtain the video dialogue content corresponding to the associated video material information. Based on the video dialogue, determine the question context information corresponding to the target analysis object.

[0011] As an optional implementation, in the first aspect of the present invention, the method further includes: In response to the text editing operation on the target co-creation strategy note and its note text area, the latest note text content of the target co-creation strategy note is displayed in the note text area; And, after the text editing operation on the target co-creation strategy note and its text area, and before the latest text content of the target co-creation strategy note is displayed in the text area, the method further includes: Based on the text editing operation, determine the subjective editing content corresponding to the target analysis object, and determine the application and strategy requirements information of the target analysis object; Based on the application and strategy requirements information, determine whether the subjectively edited content meets the preset conditions for a conventional invalid strategy; When it is determined that the subjectively edited content does not meet the conditions of the conventional invalid strategy, the corresponding text update confirmation operation is performed on the target co-creation strategy note based on the subjectively edited content to obtain the latest note text content, and the step of displaying the latest note text content of the target co-creation strategy note in the note text area is triggered.

[0012] A second aspect of this invention discloses an artificial intelligence-based strategy content co-creation system, the system comprising: The first display module is used to display a content analysis page for AI strategy note co-creation and for target analysis objects, wherein the content analysis page is equipped with an analysis question component for the target analysis object; The question processing module is used to respond to the question triggering operation of the analysis question component and display the question analysis content corresponding to the target analysis object on the content analysis page; The second display module is used to display a note editing page for AI strategy note co-creation. The note editing page has a note title editing component and a note body editing component, and the note editing page has a note title area and a note body area. The note generation module is used to display the strategy note title content in the note title area in response to the editing trigger operation of the note title editing component, and / or to display the question analysis content in the note body area in response to the insert note trigger operation for the question analysis content, thereby obtaining the target co-creation strategy note.

[0013] As an optional implementation, in a second aspect of the invention, the system further includes: The third display module is used to display the analysis object selection page of the strategy note co-creation application, and the object selection page is equipped with an analysis object selection component. The object selection module is used to respond to the object selection trigger operation of the analysis object selection component and display a relevant material display page for the target analysis object. The relevant material display page has a note creation entry component. A trigger module is created to respond to the creation trigger operation of the note creation entry component and trigger the first display module to execute the steps of displaying the content analysis page for AI strategy note co-creation and targeting the analysis object.

[0014] As an optional implementation, in a second aspect of the invention, the system further includes: The note saving module is used to display the strategy note title content in the note title area in response to the editing trigger operation of the note title editing component, and / or to display the question analysis content in the note body area in response to the insert note trigger operation for the question analysis content, after obtaining the target co-creation strategy note, and / or to perform a corresponding automatic saving operation on the target co-creation strategy note to obtain the saved strategy note; In addition, the note editing page also includes an entry point to the note storage page, and the system also includes: The fourth display module is used to display the note storage page in response to a trigger operation on the entry point of the note storage page. The note storage page includes one or more saved strategy notes. In response to a display trigger operation on a target saved strategy note among all the saved strategy notes, the module displays the matching note content and matching question analysis content corresponding to the target saved strategy note.

[0015] As an optional implementation, in a second aspect of the invention, the object selection module responds to an object selection trigger operation on the analysis object selection component in the following ways: In response to the keyword input operation of the analysis object selection component, an object selection pop-up window is displayed; The object selection pop-up window displays one or more selectable analysis objects and their corresponding object-related material display entries; In response to the selection trigger operation corresponding to the object-related material display entry of the target analysis object among all the analysis objects, the step of displaying the relevant material display page for the target analysis object is triggered; Furthermore, the content analysis page includes a recommended question content area and / or an input question content area, and the question processing module responds to the question triggering operation of the analysis question component in the following specific ways: The recommended question content area on the content analysis page displays recommended question content components based on the target analysis object, and in response to a question triggering operation for any of the recommended question content components, obtains question analysis content, triggering the execution of the step of displaying the question analysis content corresponding to the target analysis object on the content analysis page; and / or, In response to the input of a question in the input question area, the question analysis content is obtained, triggering the execution of the step of displaying the question analysis content corresponding to the target analysis object on the content analysis page.

[0016] As an optional implementation, in a second aspect of the invention, the question processing module is further configured to: determine the question content corresponding to the target analysis object based on the question triggering operation after responding to the question triggering operation on the analysis question component and before displaying the question analysis content corresponding to the target analysis object on the content analysis page; determine the associated video material information corresponding to the target analysis object, and determine the question context information corresponding to the target analysis object based on the associated video material information; input the question content and the question context information into a large model that has been trained and converged for analysis to obtain the question analysis content corresponding to the target analysis object.

[0017] As an optional implementation, in a second aspect of the present invention, the method by which the question processing module determines the question context information corresponding to the target analysis object based on the associated video material information specifically includes: The associated video material information is processed by performing corresponding audio track separation operations to obtain audio material information, and the audio material information is processed by performing corresponding frame segmentation and acoustic feature extraction operations to obtain acoustic characteristic information. The acoustic signature information is input into a trained and converged acoustic model for analysis to obtain phoneme / syllable recognition results. The phoneme / syllable recognition results are then input into a pre-trained and converged language model for analysis to obtain the video dialogue content corresponding to the associated video material information. Based on the video dialogue, determine the question context information corresponding to the target analysis object.

[0018] As an optional implementation, in a second aspect of the invention, the system further includes: The note adjustment module is used to respond to the text editing operation on the target co-creation strategy note and its note text area, and to display the latest note text content of the target co-creation strategy note in the note text area; The note adjustment module is further configured to, after responding to the text editing operation on the target co-creation strategy note and its text area, and before displaying the latest text content of the target co-creation strategy note in the text area, determine the subjective editing content corresponding to the target analysis object based on the text editing operation, and determine the application and strategy requirement information of the target analysis object; determine whether the subjective editing content meets the preset conventional invalid strategy conditions based on the application and strategy requirement information; when it is determined that the subjective editing content does not meet the conventional invalid strategy conditions, perform a corresponding text update confirmation operation on the target co-creation strategy note based on the subjective editing content to obtain the latest text content of the note, and trigger the step of displaying the latest text content of the target co-creation strategy note in the text area.

[0019] A third aspect of this invention discloses another strategy content co-creation system based on artificial intelligence, the system comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the AI-based strategy content co-creation method disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the AI-based strategy content co-creation method disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In this embodiment of the invention, a content analysis page for AI strategy note co-creation and targeting a specific analysis object is displayed. This content analysis page includes a question-and-answer component for the target analysis object. In response to a question trigger operation on the question-and-answer component, the content analysis page displays the question analysis content corresponding to the target analysis object. A note editing page for AI strategy note co-creation is also displayed. This note editing page includes a note title editing component and a note body editing component, as well as a note title area and a note body area. In response to an edit trigger operation on the note title editing component, the strategy note title content is displayed in the note title area, and / or, in response to an insert note trigger operation targeting the question analysis content, the question analysis content is displayed in the note body area, thus obtaining the target co-created strategy note. As can be seen, this invention can provide a strategy note co-creation function that combines AI artificial intelligence. It determines the question analysis content of the target analysis object based on the user's question trigger operation, and generates the target co-created strategy note based on the strategy note title and / or question analysis content. This is conducive to improving the comprehensiveness, rationality and visualization of the target co-created strategy note generation method, thereby improving the accuracy and reliability of the target co-created strategy note generation, as well as improving the generation efficiency and convenience of the target co-created strategy note, and thus improving the user's co-creation experience of strategy notes. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating a strategy content co-creation method based on artificial intelligence disclosed in an embodiment of the present invention; Figure 2 This is a flowchart illustrating another strategy content co-creation method based on artificial intelligence disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a strategy content co-creation system based on artificial intelligence disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of another AI-based strategy content co-creation system disclosed in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of another AI-based strategy content co-creation system disclosed in an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This invention discloses a strategy content co-creation method and system based on artificial intelligence. It provides a strategy note co-creation function combining AI, determining the target analysis object's question analysis content based on user-triggered actions, and generating target co-created strategy notes based on the strategy note title and / or question analysis content. This improves the comprehensiveness, rationality, and visualization of the target co-created strategy note generation method, thereby enhancing the accuracy and reliability of the generated strategy notes, as well as improving the generation efficiency and convenience, ultimately improving the user's co-creation experience of strategy notes. Detailed explanations follow.

[0028] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating a strategy content co-creation method based on artificial intelligence disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to an AI-based strategy content co-creation system, which may include a server, including a local server or a cloud server; this embodiment of the invention is not limited thereto. Figure 1As shown, this AI-based strategy content co-creation method includes the following operations: 101. Displays a content analysis page for AI strategy note co-creation and targeting the analysis object. The content analysis page has an analysis question component for the target analysis object.

[0029] Optionally, the analysis question component may include a question content area automatically generated by the system for users to select and / or an input question area for users to input their own questions. This embodiment of the invention does not impose any limitations.

[0030] Optionally, users can determine the content of their question on the content analysis page, and the content analysis page can output and display the question answer (i.e., question analysis content) based on the question content. This embodiment of the invention does not limit this.

[0031] 102. In response to a question trigger operation on the analysis question component, display the question analysis content corresponding to the target analysis object on the content analysis page.

[0032] Optionally, the above-mentioned question triggering operation for the question analysis component, such as the user clicking to select the question content provided by the system, or the user entering the question content in the question input area and clicking the confirmation button, is not limited in this embodiment of the invention.

[0033] Optionally, the question analysis content can be understood as the analysis and response results to the question content. Furthermore, the question analysis content can be output by a large model. Furthermore, the large model's response will be based on the user's question content, including but not limited to advertising strategies. These advertising strategies can be understood as a complete marketing plan, such as the goals set by the advertising team for advertising, the materials produced, and the core selling points established. Furthermore, during the deep thinking and analysis process of the large model, the content generation can be paused by using the pause button. This embodiment of the invention is not limited to these aspects.

[0034] 103. Display the note editing page for AI strategy note co-creation. The note editing page has note title editing components and note body editing components, and the note editing page has note title area and note body area.

[0035] Optionally, the note editing page can be displayed side-by-side with the content analysis page, or the note editing page can be displayed separately from the content analysis page and displayed sequentially. This embodiment of the invention does not impose any limitations.

[0036] Optionally, the note title editing component is used for users to input / edit note titles, and the note body editing component is used for users to input / edit note body text; however, this embodiment of the invention does not impose any limitations.

[0037] 104. In response to the editing trigger operation of the note title editing component, display the strategy note title content in the note title area, and / or, in response to the insert note trigger operation for the question analysis content, display the question analysis content in the note body area, thus obtaining the target co-creation strategy note.

[0038] Optionally, the above-mentioned editing trigger operation for the note title editing component can be that the user manually inputs the note title and / or manually copies and pastes the question content to complete the note title editing, such as manually inputting / copying and pasting to edit the title; furthermore, the above-mentioned note insertion trigger operation for question analysis content can be that the user manually clicks the insert note button for question analysis content on the content analysis page, and the question analysis content is automatically inserted (e.g., copied and pasted) into the note text area, such as copying / inserting to edit the text content. This embodiment of the invention does not limit this.

[0039] Optionally, users can extract the answers from the large model and record them in online notes. They can further add their own ideas to the notes and conduct in-depth analysis and research on advertising strategies. This embodiment of the invention does not limit the scope of the invention.

[0040] As can be seen, the AI-based strategy content co-creation method described in this embodiment of the invention can provide a strategy note co-creation function that combines AI. It determines the question analysis content of the target analysis object based on the user's question-triggered operation, and generates the target co-created strategy note based on the strategy note title and / or question analysis content. This improves the comprehensiveness, rationality, and visualization of the target co-created strategy note generation method, thereby improving the accuracy and reliability of the generated target co-created strategy notes, as well as the efficiency and convenience of the generated target co-created strategy notes, ultimately enhancing the user's co-creation experience of strategy notes.

[0041] In an optional embodiment, the method may further include the following operations: The analysis object selection page of the strategy notes co-creation application is displayed, and the analysis object selection page has an analysis object selection component; In response to the object selection trigger operation of the analysis object selection component, a relevant material display page for the target analysis object is displayed. The relevant material display page has an entry component for creating notes. In response to the creation trigger operation of the note creation entry component, the above steps of displaying the content analysis page for AI strategy note co-creation and targeting the analysis object are triggered.

[0042] Optionally, the user can input object identifier text in the analysis object selection component on the object selection page. Based on the input object identifier text, one or more related object pop-ups will be displayed. The user can directly search based on the object identifier text or select related objects to search. Furthermore, after the user completes the search trigger operation, a related material display page for the target analysis object will be displayed. Furthermore, the user can click to trigger the create note entry component on the related material display page, which will further redirect to the content analysis page for display. This embodiment of the invention is not limited.

[0043] Optionally, on the content editing page, select the analysis object, click Component - Create Note, but this embodiment of the invention is not limited.

[0044] As can be seen, this optional embodiment can trigger the operation based on object selection to display the corresponding material display page, and then trigger the subsequent note co-creation operation based on the note creation entry component in the relevant material display page. This is conducive to improving the comprehensiveness and integrity of the strategy note co-creation method, and thus to improving the accuracy and relevance of the determined relevant material display page, thereby improving the convenience and relevance of subsequent note creation.

[0045] In another optional embodiment, after displaying the strategy note title content in the note title area in response to an edit trigger operation on the note title editing component, and / or displaying the question analysis content in the note body area in response to an insert note trigger operation for the question analysis content, thus obtaining the target co-creation strategy note, the method may further include the following operations: In response to a save trigger operation on the target co-creation strategy note, and / or, perform a corresponding automatic save operation on the target co-creation strategy note to obtain the saved strategy note.

[0046] Optionally, users can manually trigger the note-saving command to save the target co-creation strategy notes, or they can use the system's automatic saving function. This embodiment of the invention does not impose any limitations on this.

[0047] As can be seen, this optional embodiment can provide a visual method for saving strategy notes. By saving triggered operations or setting automatic saving operations, strategy notes can be saved, which helps to improve the diversity, flexibility, comprehensiveness and rationality of strategy note saving methods. This, in turn, helps to improve the timeliness, efficiency and convenience of saving strategy notes, thereby improving the accuracy and timeliness of obtaining saved strategy notes and avoiding inaccuracies in strategy notes due to forgetting to save or misoperation.

[0048] In yet another optional embodiment, the note editing page further includes an entry point to the note storage page. Furthermore, the method may also include the following operations: In response to a triggering action on the note storage page entry, the note storage page is displayed, which includes one or more saved strategy notes; In response to the trigger action of displaying the target saved strategy note among all saved strategy notes, the content of the matching note corresponding to the target saved strategy note and the content of the matching question analysis are displayed.

[0049] Optionally, the user can manually trigger the command to display the saved strategy notes repository. For example, the user can click the "AI Strategy Notes" button, which will then redirect to the note storage page. Furthermore, the user can manually select the target saved strategy note to be displayed, and then display the note content and question analysis content corresponding to the target saved strategy note. This embodiment of the invention does not limit this.

[0050] Optionally, clicking on a target note in the note list will display the note and its corresponding AI content; however, this embodiment of the invention does not impose any limitations on this.

[0051] As can be seen, this optional embodiment can provide a visual trigger display function for saved strategy notes, which is beneficial to improving the storage accuracy and rationality of saved strategy notes, and thus to improving the timeliness, accuracy and efficiency of re-displaying saved strategy notes, thereby improving the accuracy and convenience of subsequent application of saved strategy notes.

[0052] In yet another alternative embodiment, the above-described response to the object selection triggering operation on the analysis object selection component may include: In response to the keyword entry operation of the analysis object selection component, the object selection pop-up window is displayed; The object selection pop-up window displays one or more selectable analysis objects and their corresponding object-related material display entries; In response to the selection trigger operation corresponding to the entry point for displaying object-related materials for the target analysis object among all analysis objects, the above steps of displaying the relevant material display page for the target analysis object are triggered.

[0053] Optionally, the user enters the brand keyword "XX" in the analysis object selection component. Further, the object selection pop-up window displays the analysis object and its corresponding object-related material display entry, such as "XX Official Flagship Store (Kuaishou Store)", "XX Beauty Flagship Store", "XX Official Flagship Store (Douyin Store)", etc. Further, the user manually clicks to select the target analysis object and its corresponding object-related material display entry. Further, the user is redirected to display the relevant material display page of the target analysis object selected by the user. This embodiment of the invention is not limited.

[0054] Optionally, users can enter keywords to bring up a selection of multiple related objects, from which they can choose one. This embodiment of the invention does not impose any limitations.

[0055] As can be seen, this optional embodiment can provide a visual target analysis object selection function. Based on the keyword input operation, it displays an object selection pop-up window and responds to the selection trigger operation of the object-related material display entry in the object selection pop-up window. This helps to improve the comprehensiveness, rationality, and visualization of the method for determining the target analysis object and related material display page, and thus helps to improve the accuracy and reliability of the determined target analysis object and related material display page.

[0056] In yet another optional embodiment, the content analysis page includes a recommended question content area and / or an input question content area. Further, the aforementioned response to a question triggering operation on the question analysis component may include: The recommended question content area on the content analysis page displays recommended question content components based on the target analysis object, and in response to a question trigger operation for any recommended question content component, obtains question analysis content, and triggers the execution of the above-mentioned steps of displaying the question analysis content corresponding to the target analysis object on the content analysis page; and / or, In response to the input of question content in the question input area, the question analysis content is obtained, triggering the execution of the above steps to display the question analysis content corresponding to the target analysis object on the content analysis page.

[0057] Optionally, the target question can be selected from the existing displayed questions or the question can be entered in the question input area. Further, for example, the user can manually enter the question content in the question input area and click the send button to trigger the large model to think; or, for example, the user can click to select one or more recommended question content components in the recommended question content area on the content analysis page, thereby directly triggering the large model to think about the selected recommended question content. This embodiment of the invention is not limited.

[0058] Optionally, recommended question content components based on the target analysis object can be provided, for example: try asking me questions like: "Extract the core selling points of the product" component, "Analyze the audience profile" component, "Analyze the thinking behind advertising content strategy" component, "Develop a response plan to competitor advertising strategy" component, etc., which are not limited in this embodiment of the invention.

[0059] As can be seen, this optional embodiment can provide a visual questioning function, and realize the questioning content determination function based on the recommended questioning content area and / or the input questioning content area. This is conducive to improving the comprehensiveness, rationality and visualization of the questioning content determination method, as well as improving the diversity and flexibility of the questioning content determination method. In turn, it is conducive to improving the convenience and efficiency of questioning content determination, and to improving the accuracy and reliability of questioning analysis content determination. This, in turn, is conducive to improving the accuracy and relevance of subsequent note co-creation based on questioning content.

[0060] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating another strategy content co-creation method based on artificial intelligence disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to an AI-based strategy content co-creation system, which may include a server, including a local server or a cloud server; this embodiment of the invention is not limited thereto. Figure 2 As shown, this AI-based strategy content co-creation method includes the following operations: 201. Displays a content analysis page for AI strategy note co-creation and targeting the analysis object. The content analysis page has an analysis question component for the target analysis object.

[0061] 202. In response to a question trigger operation on the analysis question component, determine the question content corresponding to the target analysis object based on the question trigger operation; determine the associated video material information corresponding to the target analysis object, and determine the question context information corresponding to the target analysis object based on the associated video material information.

[0062] Optionally, ASR analysis can be performed on the dialogue of the advertising video. Short video content marketing is currently the mainstream. Extracting the dialogue of the advertising short video is equivalent to converting speech to text. Text can present the advertising content more intuitively. Furthermore, ASR analysis can use open source ASR technology or third-party open platform ASR. This embodiment of the invention does not limit the scope of the analysis.

[0063] 203. Input the question content and question context information into the large model that has been trained and converged for analysis, obtain the question analysis content corresponding to the target analysis object, and display the question analysis content corresponding to the target analysis object on the content analysis page.

[0064] Optionally, the large model that has converged during training may include, but is not limited to, large models such as DeepSeek, Alibaba Qianwen, and ChatGTP. This embodiment of the invention does not impose any limitations.

[0065] Optionally, a question can be posed to the large model, and the ASR content of multiple materials can be integrated (e.g., integrating the ASR content of multiple materials into a CSV file and inputting it into the large model prompt in CSV format) as the context information for the question. This context information and the user's question information are sent to the large model to ask the question, and then the content of the large model's answer is displayed to the user in a streaming manner. This embodiment of the invention is not limited.

[0066] Optionally, ASR text can be used as the input context of a large model to overcome the limitations of traditional keyword filtering, identify the implicit logic of creative content (such as emotional resonance sentence structures, user pain point expression methods, etc.), and help extract the common patterns of hit materials. Furthermore, ASR text usually contains the following information: product selling points, product promotion mechanisms, product marketing celebrities and influencers, product demand scenarios, and product target audience. Based on this information contained in ASR text, combined with the reasoning ability of the large model, the above information contained in a creative can be restored. By decoding, expanding, and recreating this information, users can be guided to create new creatives, that is, to generate strategy suggestions, or question analysis content. This embodiment of the invention is not limited.

[0067] Optionally, the audio content of short video ads can be converted into text, and key elements of the screen (such as product display duration and scene style) can be extracted using image recognition technology to achieve multi-dimensional tagging processing of "audio + visual + text". This embodiment of the invention does not limit the scope of the invention.

[0068] 204. Display the note editing page for AI strategy note co-creation. The note editing page has note title editing components and note body editing components, and the note editing page has note title area and note body area.

[0069] 205. In response to the editing trigger operation of the note title editing component, display the strategy note title content in the note title area, and / or, in response to the insert note trigger operation for the question analysis content, display the question analysis content in the note body area, thus obtaining the target co-creation strategy note.

[0070] In this embodiment of the invention, for other descriptions of steps 201-205, please refer to the other detailed descriptions of steps 101-104 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0071] As can be seen, the embodiments of the present invention can provide a strategy note co-creation function combined with AI artificial intelligence. It determines the question analysis content of the target analysis object based on the user's question trigger operation, and generates a target co-created strategy note based on the strategy note title and / or question analysis content. This improves the comprehensiveness, rationality, and visualization of the target co-created strategy note generation method, thereby improving the accuracy and reliability of the generated target co-created strategy notes, as well as the generation efficiency and convenience, thus enhancing the user's co-creation experience of strategy notes. Furthermore, it can determine the question context information based on associated video materials, and determine the question analysis content based on the question content and question context information. This improves the comprehensiveness and rationality of the question analysis content determination method, and enhances the diversity and flexibility of the reference parameters used to determine the question analysis content, thereby improving the accuracy and reliability of the determined question analysis content.

[0072] In an optional embodiment, determining the question context information corresponding to the target analysis object based on the associated video material information may include: Perform corresponding audio track separation processing on the associated video material information to obtain audio material information, and perform corresponding frame segmentation processing and acoustic feature extraction on the audio material information to obtain acoustic characteristic information; The acoustic signature information is input into the trained and converged acoustic model for analysis to obtain phoneme / syllable recognition results. The phoneme / syllable recognition results are then input into the pre-trained and converged language model for analysis to obtain the video dialogue content corresponding to the associated video material information. Based on the video dialogue, determine the contextual information of the questions corresponding to the target analysis object.

[0073] Optionally, download the short video associated with the advertisement; use FFmpeg to separate the audio track from the video file (corresponding to audio track separation processing operation), and output it as WAV audio format (corresponding to audio material information); perform frame-by-frame processing on the audio, such as cutting continuous speech into small segments of 20-40ms and then extracting acoustic features (corresponding to frame-by-frame processing and acoustic feature extraction operation); input the extracted acoustic features (corresponding to acoustic characteristic information) into the acoustic model, and the acoustic model will identify the corresponding phonemes or syllables based on these features (corresponding to phoneme / syllable recognition results); input the results output by the acoustic model into the language model, and the language model will combine phonemes or syllables into complete words and sentences (corresponding to video dialogue content) according to the grammar, semantics, and other rules of the language. This embodiment of the invention is not limited.

[0074] As can be seen, this optional embodiment can determine acoustic signature information based on audio track separation processing, frame processing, and acoustic feature extraction operations, and determine video dialogue content based on acoustic and language models, thereby determining the question context information. This helps to improve the comprehensiveness, rationality, and progressiveness of the question context information determination method, and thus helps to improve the accuracy and reliability of the determined question context information.

[0075] In another alternative embodiment, the method may further include the following operations: In response to editing operations on the target co-creation strategy note and its main text area, the latest note text content of the target co-creation strategy note is displayed in the note text area.

[0076] Optionally, users can extract and record the answers from the large model into online notes, add their own thoughts to the notes, and conduct in-depth analysis and research on advertising strategies. This embodiment of the invention does not limit the scope of the invention.

[0077] As can be seen, this optional embodiment can provide a visual function for editing the text of the target co-creation strategy notes, which is conducive to improving the comprehensiveness and rationality of the strategy note co-creation method, thereby improving the accuracy and reliability of the text editing of the target co-creation strategy notes, as well as improving the efficiency, convenience and timeliness of the text editing of the target co-creation strategy notes, and thus improving the accuracy and reliability of the latest note text content of the determined target co-creation strategy notes.

[0078] In yet another alternative embodiment, after the above-described response to the text editing operation on the target co-creation strategy note and its note text area, and before the above-described display of the latest note text content of the target co-creation strategy note in the note text area, the method may further include the following operations: Based on the text editing operations, determine the subjective editing content corresponding to the target analysis object, and determine the application and strategy requirements information of the target analysis object; Based on application and strategy requirements, determine whether the subjectively edited content meets the preset conditions for invalidation policies. When it is determined that the subjectively edited content does not meet the conditions for a regular invalid strategy, the corresponding text update confirmation operation is performed on the target co-creation strategy note based on the subjectively edited content to obtain the latest note text content, and triggers the above-mentioned steps of displaying the latest note text content of the target co-creation strategy note in the note text area.

[0079] Optional, subjectively edited content can be understood as notes that are subjectively entered and edited by the user, and this embodiment of the invention does not limit it.

[0080] Further optionally, the above-mentioned determination of whether subjectively edited content meets the preset conditions for invalidation based on application and strategy requirements may include: Based on application and strategy requirements, determine the first strategy direction, and based on the subjectively edited content, determine the second strategy direction; Determine whether the first strategy direction matches the second strategy direction; if the determination result is yes, determine that the subjectively edited content does not meet the preset conventional invalid strategy conditions; if the determination result is no, determine that the subjectively edited content meets the preset conventional invalid strategy conditions.

[0081] Alternatively, the method may further include the following operations: When it is determined that the subjectively edited content meets the conditions of the regular invalid strategy, the application mandatory nature of the subjectively edited content is determined; when the application mandatory nature is greater than or equal to the preset application mandatory threshold, the above steps of performing the corresponding text update confirmation operation on the target co-creation strategy note based on the subjectively edited content are executed to obtain the latest note text content; when the application mandatory nature is less than the preset application mandatory threshold, an indication that the subjectively edited content is unreasonable and cannot be edited and saved is displayed.

[0082] Optionally, when the subjective editing content corresponds to a user with high editing level permissions, or when the subjective editing content corresponds to a user inputting mandatory editing instructions, the mandatory application is determined to be greater than or equal to a preset mandatory application threshold. This embodiment of the invention does not impose any limitations on this.

[0083] As can be seen, this optional embodiment can perform the text update confirmation operation of the target co-creation strategy note based on the subjectively edited content only when the subjectively edited content does not meet the conditions of the conventional invalid strategy. This is conducive to improving the comprehensiveness and rationality of the text update determination method of the target co-creation strategy note, and thus conducive to improving the execution accuracy and reliability of the text update operation of the target co-creation strategy note, thereby improving the accuracy and reliability of the determined latest note text content.

[0084] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a strategy content co-creation system based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 3 The described system may include a server, which may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 3 As shown, this AI-based strategy content co-creation system may include: The first display module 301 is used to display the content analysis page for AI strategy note co-creation and for the target analysis object. The content analysis page has an analysis question component for the target analysis object.

[0085] The question processing module 302 is used to respond to the question trigger operation of the question analysis component and display the question analysis content corresponding to the target analysis object on the content analysis page.

[0086] The second display module 303 is used to display a note editing page for AI strategy note co-creation. The note editing page has a note title editing component and a note body editing component, and the note editing page has a note title area and a note body area.

[0087] The note generation module 304 is used to display the strategy note title content in the note title area in response to the editing trigger operation of the note title editing component, and / or to display the question analysis content in the note body area in response to the insertion note trigger operation for the question analysis content, thereby obtaining the target co-creation strategy note.

[0088] It is evident that implementation Figure 3 The described AI-based strategy content co-creation system provides a strategy note co-creation function that combines AI. It determines the target analysis content based on user-triggered queries, and generates target co-created strategy notes based on the strategy note title and / or query analysis content. This improves the comprehensiveness, rationality, and visualization of the target co-created strategy note generation method, thereby enhancing the accuracy and reliability of the generated notes, as well as improving the efficiency and convenience of generation. Ultimately, this enhances the user's co-creation experience of strategy notes.

[0089] In an optional embodiment, such as Figure 4 As shown, the system may also include: The third display module 305 is used to display the analysis object selection page of the strategy note co-creation application, and the object selection page has an analysis object selection component.

[0090] The object selection module 306 is used to respond to the object selection trigger operation of the analysis object selection component and display the relevant material display page for the target analysis object. The relevant material display page has an entry component for creating notes.

[0091] A creation trigger module 307 is used to respond to the creation trigger operation of the note creation entry component and trigger the first display module to execute the above-mentioned steps of displaying the content analysis page for AI strategy note co-creation and for the target analysis object.

[0092] It is evident that implementation Figure 4The described system can trigger operations based on object selection to display corresponding material display pages, and then trigger subsequent note co-creation operations based on the note creation entry component in the relevant material display pages. This is conducive to improving the comprehensiveness and integrity of the strategic note co-creation method, and thus to improving the accuracy and relevance of the determined relevant material display pages, thereby improving the convenience and relevance of subsequent note creation.

[0093] In another alternative embodiment, such as Figure 4 As shown, the system may also include: The note saving module 308 is used to display the strategy note title in the note title area in response to the editing trigger operation of the note title editing component in response to the note generation module 304, and / or display the question analysis content in the note body area in response to the insertion note trigger operation for question analysis content, after obtaining the target co-creation strategy note, and / or perform the corresponding automatic saving operation on the target co-creation strategy note in response to the saving trigger operation of the target co-creation strategy note, to obtain the saved strategy note.

[0094] It is evident that implementation Figure 4 The described system also provides a visual way to save strategy notes. By saving triggered operations or setting automatic saving operations, strategy notes can be saved, which helps to improve the diversity, flexibility, comprehensiveness and rationality of strategy note saving methods. This, in turn, helps to improve the timeliness, efficiency and convenience of saving strategy notes, thereby improving the accuracy and timeliness of obtaining saved strategy notes and avoiding inaccuracies caused by forgetting to save or accidental operation.

[0095] In yet another optional embodiment, the note editing page also includes an entry point to the note storage page, further, as... Figure 4 As shown, the system may also include: The fourth display module 309 is used to display the note storage page in response to a trigger operation on the note storage page entry. The note storage page includes one or more saved strategy notes. In response to a display trigger operation on a target saved strategy note among all saved strategy notes, the module displays the matching note content and matching question analysis content corresponding to the target saved strategy note.

[0096] It is evident that implementation Figure 4 The described system can also provide a visual trigger display function for saved strategy notes, which helps improve the accuracy and rationality of the storage of saved strategy notes, and in turn, improves the timeliness, accuracy, and efficiency of the re-display of saved strategy notes, thereby improving the accuracy and convenience of subsequent applications of saved strategy notes.

[0097] In yet another alternative embodiment, the object selection module 306 responds to the object selection trigger operation of the analysis object selection component in the following ways: In response to the keyword entry operation of the analysis object selection component, the object selection pop-up window is displayed; The object selection pop-up window displays one or more selectable analysis objects and their corresponding object-related material display entries; In response to the selection trigger operation corresponding to the entry point for displaying object-related materials for the target analysis object among all analysis objects, the above steps of displaying the relevant material display page for the target analysis object are triggered.

[0098] It is evident that implementation Figure 4 The described system can also provide a visual target analysis object selection function. Based on the keyword input operation, it displays an object selection pop-up window and responds to the selection trigger operation of the relevant material display entry of the selected object in the object selection pop-up window. This helps to improve the comprehensiveness, rationality and visualization of the method of determining the target analysis object and related material display page, and thus helps to improve the accuracy and reliability of the determined target analysis object and related material display page.

[0099] In yet another optional embodiment, the content analysis page includes a recommended question content area and / or an input question content area. Further, the question processing module 302 responds to the question triggering operation of the question analysis component in the following ways: The recommended question content area on the content analysis page displays recommended question content components based on the target analysis object, and in response to a question trigger operation for any recommended question content component, obtains question analysis content, and triggers the execution of the above-mentioned steps of displaying the question analysis content corresponding to the target analysis object on the content analysis page; and / or, In response to the input of question content in the question input area, the question analysis content is obtained, triggering the execution of the above steps to display the question analysis content corresponding to the target analysis object on the content analysis page.

[0100] It is evident that implementation Figure 4 The described system also provides a visual question-asking function, enabling question content determination based on recommended question content areas and / or input question content areas. This improves the comprehensiveness, rationality, and visualization of question content determination methods, as well as their diversity and flexibility. Consequently, it enhances the convenience and efficiency of question content determination, improves the accuracy and reliability of question analysis content determination, and ultimately improves the accuracy and relevance of subsequent co-creation of notes based on question content.

[0101] In another optional embodiment, the question processing module 302 is further configured to, after responding to a question triggering operation on the question analysis component and before displaying the question analysis content corresponding to the target analysis object on the content analysis page, determine the question content corresponding to the target analysis object based on the question triggering operation; determine the associated video material information corresponding to the target analysis object, and determine the question context information corresponding to the target analysis object based on the associated video material information; input the question content and question context information into the large model that has been trained and converged for analysis, and obtain the question analysis content corresponding to the target analysis object.

[0102] It is evident that implementation Figure 4 The described system can also determine the context information of the question based on the associated video material, and determine the content of the question analysis based on the question content and the context information. This helps to improve the comprehensiveness and rationality of the method for determining the content of the question analysis, and helps to improve the diversity and flexibility of the reference parameters used to determine the content of the question analysis, thereby improving the accuracy and reliability of the determined content of the question analysis.

[0103] In yet another optional embodiment, the question processing module 302 determines the question context information corresponding to the target analysis object based on the associated video material information in the following specific ways: Perform corresponding audio track separation processing on the associated video material information to obtain audio material information, and perform corresponding frame segmentation processing and acoustic feature extraction on the audio material information to obtain acoustic characteristic information; The acoustic signature information is input into the trained and converged acoustic model for analysis to obtain phoneme / syllable recognition results. The phoneme / syllable recognition results are then input into the pre-trained and converged language model for analysis to obtain the video dialogue content corresponding to the associated video material information. Based on the video dialogue, determine the contextual information of the questions corresponding to the target analysis object.

[0104] It is evident that implementation Figure 4 The described system can also determine acoustic signature information based on audio track separation processing, frame processing, and acoustic feature extraction operations, and determine video dialogue content based on acoustic and language models, thereby determining the question context information. This helps to improve the comprehensiveness, rationality, and progressiveness of the question context information determination method, and thus helps to improve the accuracy and reliability of the determined question context information.

[0105] In another alternative embodiment, such as Figure 4 As shown, the system may also include: The note adjustment module 310 is used to respond to the text editing operation on the target co-creation strategy note and its note text area, and to display the latest note text content of the target co-creation strategy note in the note text area.

[0106] It is evident that implementation Figure 4 The described system also provides a visual editing function for the text of the co-creation strategy notes, which helps to improve the comprehensiveness and rationality of the co-creation strategy notes, thereby improving the accuracy and reliability of the text editing of the co-creation strategy notes, as well as improving the efficiency, convenience and timeliness of the text editing of the co-creation strategy notes, and thus improving the accuracy and reliability of the latest note text content of the determined co-creation strategy notes.

[0107] In another optional embodiment, the note adjustment module 310 is further configured to, after responding to the text editing operation on the target co-creation strategy note and its note text area, and before displaying the latest note text content of the target co-creation strategy note in the note text area, determine the subjective editing content corresponding to the target analysis object based on the text editing operation, and determine the application and strategy requirement information of the target analysis object; determine whether the subjective editing content meets the preset conventional invalid strategy conditions based on the application and strategy requirement information; when it is determined that the subjective editing content does not meet the conventional invalid strategy conditions, perform the corresponding text update confirmation operation on the target co-creation strategy note based on the subjective editing content, obtain the latest note text content, and trigger the above-mentioned step of displaying the latest note text content of the target co-creation strategy note in the note text area.

[0108] It is evident that implementation Figure 4 The described system can also perform text update confirmation operations on the target co-creation strategy notes based on the subjectively edited content only when the subjectively edited content does not meet the conditions of the conventional invalid strategy. This helps to improve the comprehensiveness and rationality of the text update determination method for the target co-creation strategy notes, thereby improving the execution accuracy and reliability of the text update operation of the target co-creation strategy notes, and thus improving the accuracy and reliability of the determined latest note text content.

[0109] Example 4 Please see Figure 5 , Figure 5 This is a schematic diagram of another AI-based strategy content co-creation system disclosed in an embodiment of the present invention. Wherein, Figure 5 The described system may include a server, which may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 5 As shown, the system may include: Memory 401 storing executable program code; Processor 402 coupled to memory 401; Furthermore, it may also include an input interface 403 coupled to the processor 402 and an output interface 404; The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the AI-based strategy content co-creation method described in Embodiment 1 or Embodiment 2.

[0110] Example 5 This invention discloses a computer storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps in the AI-based strategy content co-creation method described in Embodiment 1 or Embodiment 2.

[0111] Example 6 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the AI-based strategy content co-creation method described in Embodiment 1 or Embodiment 2.

[0112] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0113] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0114] Finally, it should be noted that the artificial intelligence-based strategy content co-creation method and system disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence-based strategy content co-creation method, characterized by, The method comprises: displaying a content analysis page for AI strategy note co-creation and a target analysis object, the content analysis page being provided with an analysis question component for the target analysis object; in response to a question triggering operation of the analysis question component, displaying question analysis content corresponding to the target analysis object on the content analysis page; displaying a note editing page for AI strategy note co-creation, the note editing page being provided with a note title editing component and a note body editing component, and the note editing page being provided with a note title area and a note body area; in response to an editing triggering operation of the note title editing component, displaying a strategy note title content in the note title area, and / or in response to an insert note triggering operation for the question analysis content, displaying the question analysis content in the note body area, to obtain a target co-created strategy note. 2.The AI-based policy content co-creation method of claim 1, wherein, The method further comprises: displaying an analysis object selection page of a strategy note co-creation application, the object selection page being provided with an analysis object selection component; in response to an object selection triggering operation of the analysis object selection component, displaying a related material display page for a target analysis object, the related material display page being provided with a note creation entry component; in response to a creation triggering operation of the note creation entry component, triggering the display of the content analysis page for AI strategy note co-creation and the target analysis object. 3.The AI-based policy content co-creation method of claim 1, wherein, After the response to the editing triggering operation of the note title editing component, displaying a strategy note title content in the note title area, and / or in response to an insert note triggering operation for the question analysis content, displaying the question analysis content in the note body area, to obtain a target co-created strategy note, the method further comprises: in response to a saving triggering operation of the target co-created strategy note, and / or performing a corresponding automatic saving operation on the target co-created strategy note, to obtain a saved strategy note; and the note editing page further comprises a note storage page entry, and the method further comprises: in response to a triggering operation of the note storage page entry, displaying a note storage page, the note storage page comprising one or more saved strategy notes; in response to a display triggering operation of a target saved strategy note among all the saved strategy notes, displaying matching note content and matching question analysis content corresponding to the target saved strategy note. 4.The AI-based policy content co-creation method of claim 2, wherein, The response to the object selection triggering operation of the analysis object selection component comprises: in response to a keyword entry operation of the analysis object selection component, displaying an object selection pop-up window; the object selection pop-up window displays one or more selectable analysis objects and their corresponding object-related material display entries; in response to a selection triggering operation of the object-related material display entry corresponding to a target analysis object among all the analysis objects, the step of displaying a related material display page for the target analysis object is triggered to be executed; and the content analysis page includes a recommended question content area and / or an input question content area, the response to the question triggering operation on the analysis question component includes: displaying the recommended question content components based on the target analysis object in the recommended question content area in the content analysis page, and in response to the question triggering operation on any of the recommended question content components, obtaining question analysis content, triggering the step of displaying the question analysis content corresponding to the target analysis object in the content analysis page; and / or, in response to the question content input operation in the input question content area, obtaining question analysis content, triggering the step of displaying the question analysis content corresponding to the target analysis object in the content analysis page.

5. The artificial intelligence-based strategy content co-creation method according to any one of claims 1-4, characterized in that, After the response to the question triggering operation on the analysis question component and before the display of the question analysis content corresponding to the target analysis object in the content analysis page, the method further includes: determining the question content corresponding to the target analysis object according to the question triggering operation; determining the associated video material information corresponding to the target analysis object, and determining the question context information corresponding to the target analysis object according to the associated video material information; inputting the question content and the question context information into a large model trained and converged for analysis to obtain the question analysis content corresponding to the target analysis object. 6.The AI-based policy content co-creation method of claim 5, wherein, The determination of the question context information corresponding to the target analysis object according to the associated video material information includes: performing corresponding audio track separation processing operation on the associated video material information to obtain audio material information, and performing corresponding frame processing and acoustic feature extraction operation on the audio material information to obtain acoustic sign information; inputting the acoustic sign information into an acoustic model trained and converged for analysis to obtain phoneme / syllable recognition results, and inputting the phoneme / syllable recognition results into a language model pre-trained and converged for analysis to obtain video script content corresponding to the associated video material information; determining the question context information corresponding to the target analysis object according to the video script content. 7.The AI-based policy content co-creation method of claim 5, wherein, The method further includes: displaying the latest note text content of the target co-creation strategy note in the note text area in response to the text editing operation on the target co-creation strategy note and the note text area thereof; and after the response to the text editing operation on the target co-creation strategy note and the note text area thereof, and before the display of the latest note text content of the target co-creation strategy note in the note text area, the method further includes: determining the subjective editing content corresponding to the target analysis object according to the text editing operation, and determining the application and strategy demand information of the target analysis object; judging whether the subjective editing content meets the preset regular invalid strategy condition according to the application and strategy demand information; When it is judged that the subjective editing content does not meet the regular invalid policy condition, a corresponding text update confirmation operation is performed on the target co-creation policy note based on the subjective editing content, the latest note text content is obtained, and the step of displaying the latest note text content of the target co-creation policy note in the note text area is triggered.

8. An artificial intelligence-based strategy content co-creation system, characterized by, The system comprises: A first display module is configured to display a content analysis page for AI policy note co-creation and analysis of a target analysis object, wherein the content analysis page is provided with an analysis question component for the target analysis object; A question processing module is configured to display question analysis content corresponding to the target analysis object in the content analysis page in response to a question triggering operation on the analysis question component; A second display module is configured to display a note editing page for AI policy note co-creation, wherein the note editing page is provided with a note title editing component and a note text editing component, and the note editing page is provided with a note title area and a note text area; A note generation module is configured to display a policy note title in the note title area in response to an editing triggering operation on the note title editing component, and / or display the question analysis content in the note text area in response to an insert note triggering operation on the question analysis content, thereby obtaining a target co-creation policy note. 9.A strategy content co-creation system based on artificial intelligence, characterized by The system comprises: A memory storing executable program codes; A processor coupled with the memory; The processor invokes the executable program codes stored in the memory to execute the AI-based strategy content co-creation method according to any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which are invoked to execute the AI-based strategy content co-creation method according to any one of claims 1-7.

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