Information processing system, information processing method, and program

Abstract

To provide a technology that can easily make proposals for visualizing various contents. [Solution] A novel information acquisition unit 60 acquires novel information transmitted from a user terminal 2. A visualization information generation unit 61 generates visualization information including information on the "plot," "characters," "filming locations," "headlines," and "recommendation" of a novel or story based on the novel information acquired by the novel information acquisition unit 60. A proposal information generation unit 62 generates proposal information that can be added to the visualization information generated by the visualization information generation unit 61. An estimated information generation unit 63 makes an estimate regarding the visualization of text or audio, and generates estimated information regarding the estimation result. A visualization information etc. transmission unit 64 transmits the visualization information generated by the visualization information generation unit 61, the proposal information generated by the proposal information generation unit 62, and the estimated information generated by the estimated information generation unit 63 to the user terminal 2.

Description

[Technical field]

[0001] The present disclosure relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] In recent years, the technology of translating and summarizing texts has improved dramatically due to the development of various machine learning technologies, etc. For example, the technology described in Patent Document 1 discloses a technology of generating summaries for language data by utilizing a so-called large-scale language model technology, etc. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2023-73095 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in the above-mentioned Patent Document 1 is merely capable of creating summaries by utilizing a large-scale language model or the like, and cannot be said to be sufficient for application in the real world.

[0005] The present disclosure has been made in light of the above circumstances, and aims to provide a technology that can easily make proposals for visualizing various types of content.

[0006] In order to achieve the above object, an information processing system according to an embodiment of the present disclosure includes: A first information acquisition means for acquiring first information related to text or audio; a second information generating means for outputting second information relating to the creation of content or promotion of the text or the audio based on the first information; The information processing system includes:

[0007] An information processing method and a program according to an embodiment of the present disclosure are also provided as an information processing method or a program corresponding to an information processing system according to an embodiment of the present disclosure. Effect of the Invention

[0008] According to the present disclosure, it is possible to provide a technique that can easily make proposals regarding the visualization of various types of content. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of an information processing system according to an embodiment of the present disclosure. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of a server constituting an information processing system according to an embodiment of the present disclosure. [Diagram 3] FIG. 2 is a diagram illustrating an example of a functional configuration of a server and a user terminal constituting an information processing system according to an embodiment of the present disclosure. [Figure 4] FIG. 11 is a diagram illustrating an example of an image displayed on a user terminal constituting an information processing system according to an embodiment of the present disclosure. [Diagram 5] 11 is a flowchart illustrating an example of a flow of a process executed by a server constituting an information processing system according to an embodiment of the present disclosure. [Figure 6] 1 is a diagram for explaining an example of information stored in a server constituting an information processing system according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] [Embodiment] FIG. 1 is a diagram illustrating an example of a configuration of an information processing system according to an embodiment of the present disclosure (hereinafter, referred to as "this system").

[0011] 1, the system includes, for example, a server 1 and a user terminal 2. The server 1 and the user terminal 2 are connected via a predetermined network such as the Internet. However, the network is not an essential component, and for example, NFC (Near Field Communication), Bluetooth (registered trademark), LAN (Local Area Network), etc. may be used.

[0012] The server 1 is an information processing device managed by an administrator of the system, etc. The server 1 is configured, for example, with a general-purpose PC (Personal Computer), etc. The server 1 executes, for example, various processes related to the services provided by the system.

[0013] The user terminal 2 is an information processing terminal used by a user who wishes to receive services related to this system. The user terminal 2 is, for example, a general-purpose PC, a smartphone, etc. The user terminal 2 accepts input information from the user and transmits various input information to the server 1.

[0014] FIG. 2 is a diagram illustrating an example of a hardware configuration of a server constituting an information processing system according to an embodiment of the present disclosure.

[0015] As shown in FIG. 2, the server 1 includes a control unit 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an output unit 16, an input unit 17, a memory unit 18, a communication unit 19, and a drive 20.

[0016] The control unit 11 is configured with a microcomputer including a CPU, a GPU, a semiconductor memory, etc. The control unit 11 executes various processes according to a program recorded in a ROM 12 or a program loaded from a storage unit 18 to a RAM 13. The RAM 13 also stores information necessary for the control unit 11 to execute various processes as appropriate.

[0017] The control unit 11, ROM 12, and RAM 13 are connected to one another via a bus 14. An input / output interface 15 is also connected to this bus 14. An output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0018] The output unit 16 is configured with various displays, speakers, etc. The output unit 16 outputs various images, sounds, etc.

[0019] The input unit 17 is configured with, for example, a keyboard, a mouse, etc. The input unit 17 accepts input of various information.

[0020] The storage unit 18 is configured with a hard disk drive (HDD), a solid state drive (SSD), etc., and stores various information. The storage unit 18 stores various programs and the like related to the provision of the present service.

[0021] The communication unit 19 controls communications between the device and other hardware devices via a network N including the Internet.

[0022] The drive 20 is provided as necessary. Removable media 31, which may be a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is appropriately mounted in the drive 20. Programs for executing various processes are stored in the removable media 31. The programs read from the removable media 31 by the drive 20 are installed in the storage unit 18 as necessary. Further, the removable medium 31 can store various information stored in the storage unit 18 in the same manner as the storage unit 18 .

[0023] The hardware configuration of the user terminal 2 can be basically the same as that of the server 1, but the input unit (not shown) of the user terminal 2 can also be configured to include, for example, various cameras, scanners, microphones, etc. These configurations are not specific to the user terminal 2, and the server 1 can also employ similar configurations in the input unit 17.

[0024] FIG. 3 is a diagram illustrating an example of a functional configuration of a server and a user terminal constituting an information processing system according to an embodiment of the present disclosure. First, a description will be given of an example of a functional configuration of the user terminal 2. As shown in Fig. 3, a control unit 100 of the user terminal 2 executes various programs and the like to function as an input receiving unit 120, a visualization information acquiring unit 121, and an output control unit 122.

[0025] The input receiving unit 120 receives various input information from the user. Specifically, the input receiving unit 120 acquires, for example, first information related to text or audio related to a novel or story. The input receiving unit 120 receives, for example, input of text information related to a novel or story (hereinafter referred to as "novel information") from the user, and transmits the received novel information to the server 1.

[0026] The visualization information etc. acquiring unit 121 acquires the visualization information, the proposal information, and the estimated information transmitted from the server 1 via the communication unit 110 .

[0027] The output control unit 122 executes control to display various images, sounds, etc. on an output unit (not shown). Specifically, the output control unit 122 executes control to display, for example, the visualization information, the proposal information, and the estimation information acquired by the visualization information acquisition unit 121 on an output unit (not shown).

[0028] Next, an example of the functional configuration of the server 1 will be described. As shown in FIG. 3, the control unit 11 of the server 1 executes various programs and functions as a novel information acquisition unit 60, a visualization information generation unit 61, a proposal information generation unit 62, an estimated information generation unit 63, and a visualization information transmission unit 64. In addition, a video content DB 300 is provided in one area of ​​the storage unit 18 of the server 1. The video content DB 300 stores a wide variety of information related to past video works, such as the time and cost required for the production and preparation of past video works, the viewer ratings, number of viewers, number of views, audience numbers, number of rentals, the content and number of introductions in magazines, web articles, media, etc., the content and number of citations in SNS, etc., the number of likes, the number of copies sold of the original work of the past video work, the characters, plot, shooting location, headline, recommendation text, etc. of the past video works.

[0029] The novel information acquisition unit 60 acquires the novel information transmitted from the user terminal 2 via the communication unit 19.

[0030] The visualization information generation unit 61 outputs second information related to visualization of text or audio related to a novel or story based on the first information. Specifically, the visualization information generation unit 61 generates information useful for visualizing the novel or story (hereinafter referred to as "visualization information") including information related to the "plot," "characters," "filming locations," "headlines," and "recommendations" of the novel or story based on the novel information acquired by the novel information acquisition unit 60. Details of the visualization information will be described later with reference to FIG. 4. Here, when generating the visualization information, the visualization information generation unit 61 can also use so-called generative AI (Artificial Intelligence), a large-scale language model, etc. Specifically, the visualization information generation unit 61 is provided with a generative AI utilization unit 70. The generation AI utilization unit 70 may obtain various information useful for generating visualization information by providing various information including novel information, etc., obtained by the novel information acquisition unit 60 to a large-scale language model, etc. Specifically, the generation AI utilization unit 70 may, for example, use the information obtained by the generation AI, etc., as visualization information as is, or may modify or process some of the information to obtain visualization information. However, whether or not the visualization information generation unit 61 uses various generation AI, etc. when generating visualization information is optional, and the visualization information generation unit 61 may generate visualization information without using various generation AI, etc.

[0031] The proposed information generator 62 generates information that can be proposed in addition to the visualized information generated by the visualized information generator 61 (hereinafter referred to as “proposed information”). Specifically, for example, the proposed information generating unit 62 generates information on people (e.g., actors, entertainers, etc.) who are candidates for the casting of each of the "characters" included in the visualization information. The proposed information generating unit 62 also generates information on people (e.g., directors, producers, etc.) who are candidates for the producers of the visualization of the text or audio. The proposed information generating unit 62 also generates information on actual indoor or outdoor locations that are candidates for the shooting locations for each of the "filming locations" included in the visualization information. The proposed information generation unit 62 may generate proposed information based on, for example, a database on talent, a database on general filming locations, performance information on past content (e.g., number of copies sold, number of audiences when filmed, television broadcast ratings, etc.), various survey information, comments and evaluation information obtained via the Internet, etc.

[0032] The estimated information generating unit 63 performs an estimation regarding visualization of text or audio, and generates information on the estimation result (hereinafter, referred to as "estimated information"). Specifically, the estimated information generating unit 63 estimates, for example, the time and cost required for imaging. The estimated information generating unit 63 estimates the time and cost required for imaging by calculating and estimating, for example, the time and cost required for past similar works, the number of days for shooting from the actors, the number of extras, the performance time, and the time commitment multiplied by a coefficient for each scene when it is visualized, as well as location scouting and meetings, CGVFX animation production and appearance coordination, preparation time required for rehearsals, preview screenings, meetings with the media, etc., and labor costs. The estimated information generating unit 63 also estimates, for example, the sales that can be generated from the visualization. The estimated information generating unit 63 estimates the sales that can be generated from the visualization based on, for example, data on the viewership ratings, number of viewers, and number of audiences of similar works in the past.

[0033] The visualization information transmitting unit 64 transmits the visualization information generated by the visualization information generating unit 61, the proposal information generated by the proposal information generating unit 62, and the estimated information generated by the estimated information generating unit 63 to the user terminal 2.

[0034] FIG. 4 is a diagram illustrating an example of an image displayed on a user terminal configuring the information processing system according to an embodiment of the present disclosure. An example of the visualization information output for a target novel is shown in the example of Fig. 4. Specifically, the example of Fig. 4 displays the novel's "title," "author," "heading," "plot," "main characters," "main shooting scenes," and "recommendation" for the target novel. Here, "title" refers to the title of the novel in question, and "author" refers to the name of the author of the novel in question. A "headline" is a simple sentence that succinctly expresses the contents of the novel. In the example in Figure 4, the headline is expressed as a few lines of text. A "plot" is a rough outline of the story or a summary of the novel. In the example shown in Figure 4, the plot is expressed in a sentence of about several hundred characters. "Main characters" are the main characters who appear in the target novel. In the example of Figure 4, the name, gender, age, generation, and brief characteristics of each character are displayed. "Major filming scenes" refers to typical locations that appear in the novel or typical scenes that appear in the novel. In the example of Figure 4, for example, "Marine Resources Development Research Institute, Shonan Town, southern Ehime Prefecture" is displayed as a typical location that appears in the novel, and typical scenes in the novel at this location include "In front of the research institute: research staff leaving," "Laboratory: research staff discussing an experiment," and "Pump room: seawater being pumped up from the ocean." A "recommendation" is a simple sentence that expresses the merits of the novel in question.

[0035] The present system may generate, for example, the information shown in Fig. 4 as visualized information. In this case, as described above, the present system may generate visualized information including information on each item shown in Fig. 4 by using a so-called generative AI or a large-scale language model. However, the present system may generate visualized information by, for example, a unique algorithm generated by an administrator of the present system or by any other arbitrary method. The method by which the present system generates visualized information is arbitrary.

[0036] FIG. 5 is a flowchart showing an example of a flow of a process executed by a server configuring an information processing system according to an embodiment of the present disclosure. In step S1, the novel information acquisition unit 60 of the server 1 acquires the novel information transmitted from the user terminal 2 via the communication unit 19.

[0037] In step S2, the visualization information generation unit 61 of the server 1 generates visualization information including information regarding the "plot," "characters," "filming locations," "headline," and "recommendation" of the novel or story based on the novel information acquired by the novel information acquisition unit 60.

[0038] In step S3, the proposed information generating unit 62 of the server 1 generates proposed information that can be further proposed in addition to the visualized information generated by the visualized information generating unit 61. Specifically, in step 3, the proposed information generation unit 62 generates, for each of the "characters" included in the visualization information, information on people who are candidates for casting the characters, information on people who are candidates for the producers of the visualization, and information on real indoor or outdoor locations that are candidates for filming locations for each of the "filming locations" included in the visualization information.

[0039] In step S4, the estimated information generating unit 63 of the server 1 performs an estimation regarding visualization of the text or audio, and generates estimated information regarding the estimation result. Specifically, in step S4, the estimated information generating unit 63 estimates, for example, the time and cost required for visualization and the sales that can be generated from the visualization.

[0040] In step S5, the visualization information transmitting unit 64 transmits the visualization information generated by the visualization information generating unit 61, the proposal information generated by the proposal information generating unit 62, and the estimated information generated by the estimated information generating unit 63 to the user terminal 2. This completes the various processes by the server 1.

[0041] Although one embodiment of the present disclosure has been described above, the present disclosure is not limited to the above-described embodiment, and modifications and improvements within the scope that can achieve the object of the present disclosure are included in the present disclosure.

[0042] [Other embodiments] Here, we will supplement the use of the generation AI and large-scale language model of the present system. In the above embodiment, only a simple explanation has been given, but the present system can use various services related to the generation AI and large-scale language model, such as ChatGPT, Gemini (registered trademark), and QuillBot, to generate various information (particularly visualized information). In the generation AI and large-scale language model, the user generally gives an instruction called a prompt, and the output result of the large-scale language model trained by a large amount of learning data can be obtained. That is, the present system may generate visualized information, etc. through an algorithm related to learning. The present system may also generate visualized information, etc. through an instruction input (prompt) to the generation AI or large-scale language model. However, services related to generative AI and large-scale language models are basically premised on general-purpose use, and it is difficult to meet all of the diverse needs of users with only simple instructions. Therefore, it is important to check and correct the output results obtained from generative AI and large-scale language models, and it is also important to set the prompts provided to generative AI and large-scale language models. Taking such points into consideration, the present system can generate various types of visualization information in an optimal manner when visualizing a novel or story, while using various services related to generative AI and large-scale language models as necessary. In addition, the present system can generate suggested information and estimated information that are even more useful when visualizing a novel or story by comparing the visualization information generated in this way with information on past video content. This allows users of the present system to obtain useful information extremely easily when visualizing a novel or story.

[0043] In the above embodiment, the present system has been described as generating visualization information including information on the "plot," "characters," "filming locations," "headlines," and "recommendations" of a novel or story, but each piece of information included in the visualization information is merely an example and is not limiting. The present system may include any information necessary for the visualization of a novel or story. Specifically, the present system may generate, for example, a character relationship chart, a screenplay, a script, simple image content (images, etc.), the careers and biographies of the characters, reader impressions, etc. as part of the visualization information.

[0044] Although not described in the above embodiment, the novels or stories in the present system may include a wide range of text media, such as literary novels, popular novels, essays, columns, light novels, short novels, children's books, radio dramas, etc. Furthermore, these may be either fiction or non-fiction.

[0045] In addition, the images related to this system may broadly include, for example, television, IP (Internet Protocol), program content provided via various SNS (Social Networking Services) and the Web, movies, animations, etc., and may include any image media.

[0046] In the above embodiment, the present system has been described as generating, as examples of suggested information, information on candidates for the casting of characters, information on candidates for the filming producer, and information on candidate filming locations, but this is by way of example and is not limiting. The present system may generate any other information as suggested information if there is information that can be suggested for filming by associating it with any other information.

[0047] In the above embodiment, various information stored in the video content DB 300 of the system is shown, but these are all examples and are not limited to the present embodiment. The information stored in the video content DB 300 may include any information that can be obtained about video works in the past or in the future.

[0048] Although not described in the above embodiment, the present system or the large-scale language model according to the present system may, for example, be used to put various information generated by the present system into a database and acquire data for learning. Specifically, the present system or the large-scale language model according to the present system may have a function of calculating a similarity between the information in the database (for example, visualized information previously output by the present system) when acquiring learning data from the Internet, etc., and stopping or warning the import of the target information into the information processing device used for learning according to the calculated similarity. The system may always stop or warn the import of the target information into the information processing device when the similarity between the target information and the information in the database is equal to or greater than a threshold value. On the other hand, the system may permit the import of the target information into the information processing device even when the similarity between the target information and the information in the database is equal to or greater than a threshold value, and may allow the information processing device to use the information for learning by paying a fee, for example. As a result, the present system or the large-scale language model related to the present system can provide various services while taking into consideration the copyrights of various information (contents), etc.

[0049] Although the above embodiment has been described simply, the present system may hold information such as that shown in FIG. 6 and use the information to generate proposed information or estimated information. In the example of FIG. 6, information on the past film adaptations of novels or stories, such as "No.", "Title.", "Author.", "Genre.", "Character 1.", "Character n" (n is any natural number), is stored. The system can manage, for example, this information on the past film adaptations of novels or stories in association with the viewer ratings (including by audience target), number of viewers, audience numbers, etc. of the film adaptations. The system can calculate the similarity between the target novel or story and past novels or stories based on, for example, the similarity of the attributes of the characters, the similarity of the genre of the work, the similarity of the authors, etc., and predict the number of viewers, sales, etc. of the film adaptation of the target novel or story for each medium or by combining them. However, the information shown in FIG. 6 is merely an example of information that the system can hold, and the system may hold any other information on past film works, or may not hold some of the information shown in FIG. 6.

[0050] In addition, although not explained in the above embodiment, the system may generate, as part of the proposed information or estimated information, information regarding the suitability of the video content, such as whether the visualization of the target novel or story is suitable for a television serial drama (such as a morning drama or an evening drama), whether it is suitable for a special drama slot on television (a so-called two-hour drama), whether it is suitable for terrestrial or satellite broadcasting, or for a distribution slot such as IP broadcasting, whether it is a free channel or a pay channel, or whether it is suitable for a movie.

[0051] Although not described in the above embodiment, the talent database of this system may include information such as the talent's name, age, sex, past roles, image survey results, etc. The talent may broadly include people in the entertainment industry and cultural figures who have appeared in various content both domestically and internationally.

[0052] Furthermore, the system may, for example, propose people who are highly compatible with the main characters of a novel or story from among people included in a database related to entertainers, as candidates for the main characters of the novel or story. Note that the system may, for example, determine the degree of similarity for each character according to the number of similar items from age, sex, and personal characteristics (for example, personality, etc.), and propose people (entertainers) with high similarity as candidates for actors.

[0053] Although not described in the above embodiment, the database of shooting locations in the present system may include information such as the names of the shooting locations, the names of organizations, scenes that can be shot, and usage fees (by hour or day), etc. For example, the present system may suggest, from among the locations included in the database of shooting locations, locations that are highly compatible with the main shooting scenes of a novel or story, as candidates for the main shooting scenes of the novel or story.

[0054] In the above embodiment, the present system has been described as generating information related to the visualization of a novel or story, but this is not limited thereto. The visualization referred to here is not limited to the visualization of a novel or story, but includes, for example, the adaptation of a novel or story into an audio drama, a play, a theme park, a special exhibition, a derivative work, etc.

[0055] In addition, although not explained in the above embodiment, the visualized information output by this system can also be used, for example, in an introduction to bookstores (promotion to bookstores), promotion of the target novel or story, etc.

[0056] In the above embodiment, the definition of the characters in the system is described as a "person" who appears in the target novel or story, but is not limited thereto. The characters in the system may include, for example, animals and fictional characters other than people.

[0057] Although not explained in the above embodiment, the present system may use the concepts of "consumption degree (or consumption index)" and "unit consumption price" when estimating the sales that can be generated from the visualization. Specifically, "consumption degree (or consumption index)" is an index related to the consumption and influence of content, such as the number of views, viewing rate, number of viewers, number of audience members, number of rentals, number of citations, popularity, and response. Furthermore, "unit consumption price" is a standard unit price when charging for content, such as the usage price or movie theater admission fee. The present system can estimate the sales that can be generated from the visualization by, for example, determining such "consumption degree (or consumption index)" and "unit consumption price" and adding up the accumulated values ​​of each.

[0058] In the above embodiment, the present system has been described on the assumption that input or output is performed in Japanese, but this is not limited thereto. The present system may have a translation function for various languages, and may perform conversion or replacement with any language, for example, from Japanese to English or from French to Japanese.

[0059] Furthermore, the above-described series of processes can be executed by hardware or software. In other words, the functional configurations in FIG. 3 and the like are merely examples and are not particularly limited. That is, it is sufficient that the information processing system is provided with a function capable of executing the above-mentioned series of processes as a whole, and the type of functional block used to realize this function is not limited to the example in Fig. 3, etc. Furthermore, the location of the functional block is not limited to the example in Fig. 3, etc., and may be arbitrary. Furthermore, one functional block may be configured as a single piece of hardware, may be configured as a single piece of software, or may be configured as a combination of both.

[0060] Although not described in the above embodiment, when the system processes the above-mentioned various databases in cooperation with the generation AI, each generation AI may be used after learning by any method. Specifically, for example, the system may use each generation AI after learning by applying any learning method such as RAG (Retrieval Augmented Generation), fine tuning, transfer learning, and few-shot learning.

[0061] In addition, in this specification, the steps of describing the program to be recorded on the recording medium may be executed in parallel or individually, as well as in chronological order. Also, some of the steps described in the above embodiment may be omitted.

[0062] In addition, in this specification, the term "system" refers to an overall device that is composed of a plurality of devices or a plurality of means.

[0063] The system configurations shown in the above-described embodiments are merely examples and are not limiting. The number and types of hardware constituting the present system are arbitrary, and any other hardware may be adopted as part of the system, or some of the hardware described above may be omitted.

[0064] In addition, in this system, for example, some or all of the series of processes described above may be executed by another server or the like managed by a cloud or the like.

[0065] Furthermore, when the series of processes is executed by software, the programs constituting the software are installed into a computer or the like from a network or a recording medium.

[0066] The computer may be a computer that is built into dedicated hardware, or a computer that is capable of executing various functions by installing various programs. That is, for example, the various hardware in the above-described embodiment may be freely adopted as any computer, any mobile terminal such as a smartphone, etc. Furthermore, any combination of types and contents of various input units and various output units may be adopted.

[0067] Furthermore, the recording medium containing such a program may not only be constituted by a removable medium (not shown) provided separately from the device main body in order to provide the program to a user, etc., but may also be constituted by a recording medium that is provided to the user in a state in which it is pre-installed in the device main body.

[0068] In addition, even when these other embodiments are adopted, the effects of the present embodiment are exhibited. In addition, the present embodiment can be appropriately combined with other embodiments, and other embodiments can be appropriately combined with each other.

[0069] To summarize the above, the information processing system to which the present disclosure is applied can take various embodiments having the following configurations. A first information acquisition means for acquiring first information related to text or audio; a second information generating means for outputting second information relating to the creation of content or promotion of the text or the audio based on the first information; Any information processing system having the above will suffice.

[0070] The first information acquisition means may acquire the first information related to the text or audio related to a novel or a story.

[0071] The second information generating means may generate the second information including information on at least one of a plot, characters, and a filming location related to the creation of content or promotion of the text or the audio.

[0072] The second information generating means may generate the second information further including information regarding a headline or title, a recommendation or endorsement relating to the conversion of the text or the audio into content or promotion.

[0073] The information processing system may further include a first suggestion means for suggesting, for each of the characters, a person who is a candidate for the role of the character.

[0074] The first suggestion means may suggest, as a casting candidate for the character, a person having a high degree of compatibility with the character, from among people included in a database related to people who are candidates for the character.

[0075] The information processing system may further include a second suggestion means for suggesting candidates for producing the content of the text or the audio or for producing a promotion.

[0076] The information processing system may further include a third suggestion means for suggesting, for each of the photography locations, locations that are candidates for the photography location.

[0077] The third suggestion means may suggest, as a candidate location for the shooting location, a location that is highly compatible with the shooting location among locations included in a database related to candidate locations for shooting.

[0078] The information processing system may further include an estimation means for estimating a consumption level or consumption index of content when the text or the audio is made into content or when the content is promoted.

[0079] The estimation means may estimate the sales amount that may be generated by the content by multiplying and adding the consumption level or the consumption index by a consumption unit price.

[0080] The second information generating means may generate the second information via a predetermined instruction input.

[0081] The second information generating means may generate the second information through a learning algorithm.

[0082] In addition, the information processing system may further include a stop / warning means for calculating a similarity between the information used for learning the algorithm and the second information output in the past, and executing, stopping, or issuing a warning regarding the import of the target information into the information processing device used for learning depending on the calculated similarity.

[0083] In addition, if the similarity is equal to or greater than a predetermined threshold, the stop warning means may not use the target information for learning the algorithm, and may stop or issue a warning against the import of the target information into the information processing device used for learning.

[0084] In addition, as another aspect of the present disclosure, 1. A computer-implemented information processing method, comprising: A first information acquisition step of acquiring first information related to text or audio; a second information generating step of outputting second information relating to the creation of content or promotion of the text or the audio based on the first information; The present invention may also be an information processing method comprising:

[0085] In addition, as another aspect of the present disclosure, On the computer, A first information acquisition means for acquiring first information related to text or audio; a second information generating means for outputting second information relating to the creation of content or promotion of the text or the audio based on the first information; The program may be a program for executing a process including the above. [Explanation of symbols]

[0086] 1 Server 11 Control section 60 Novel Information Acquisition Department 61 Visualization information generation unit 70 Generation AI Utilization Department 62 Proposal information generation section 63 Estimated information generation unit 64 Visualization information transmission section 300 Video Content DB 2 User terminal 2 100 Control section 120 Input reception section 121 Visualization Information Acquisition Department 122 Output control section

Claims

1. A first information acquisition means for acquiring first information relating to a text or audio of a novel or story; A second information generating means for generating second information including at least a plot summary relating to the content or promotion of the text or the audio, a character relating to the text or the audio, and a recommendation statement relating to the text or the audio; a suggestion means for generating suggestion information that can contribute to the creation of content or promotion of the text or the audio based on the second information; An information processing system comprising:

2. The second information generating means generates the second information further including information on a shooting location related to the text or the audio. The information processing system according to claim 1 .

3. The second information generating means generates the second information further including information on a headline related to the content or promotion of the text or the audio and a title related to the content or promotion of the text or the audio. The information processing system according to claim 2 .

4. The suggestion means proposes, for each of the characters, candidates for the role of the character. The information processing system according to claim 1 .

5. The suggestion means proposes, as a candidate for the role of the character, a person who is highly compatible with the character among people included in a database of people who are candidates for the role.

5. The information processing system according to claim 4.

6. The suggestion means suggests candidates for a content creator or a promotion creator of the text or the audio. The information processing system according to claim 1 .

7. The suggestion means suggests candidate locations for each of the shooting locations. The information processing system according to claim 2 .

8. The suggestion means suggests locations that are highly compatible with the shooting location among locations included in a database of candidate shooting locations as the candidate shooting location. The information processing system according to claim 7.

9. The method further includes estimating a consumption level or consumption index of the content in the content creation or promotion of the text or the audio. The information processing system according to claim 1 .

10. the estimation means estimates the sales amount that may be generated by the content by integrating and adding the consumption level or the consumption index by a consumption unit price; The information processing system according to claim 9.

11. The second information generating means generates the second information through a predetermined instruction input. The information processing system according to claim 1 .

12. The second information generating means generates the second information through a learning algorithm. The information processing system according to claim 1 .

13. The method further includes a stop / warning means for calculating a similarity between information used for learning the algorithm and the second information previously output, and executing, stopping, or issuing a warning to import the target information into the information processing device used for learning according to the calculated similarity. The information processing system according to claim 12.

14. The stop warning means, when the degree of similarity is equal to or greater than a predetermined threshold, does not use the target information for learning the algorithm, and stops or issues a warning to the information processing device to be used for learning the target information. The information processing system according to claim 13.

15. 1. A computer-implemented information processing method, comprising: A first information acquisition step of acquiring first information related to a text or audio of a novel or a story; A second information generating step of generating second information including at least a plot summary related to the content or promotion of the text or the audio, a character related to the text or the audio, and a recommendation related to the text or the audio; a suggestion step of generating, based on the second information, suggestion information that can contribute to creating content or promoting the text or the audio; An information processing method comprising:

16. On the computer, A first information acquisition step of acquiring first information related to a text or audio of a novel or a story; A second information generating step of generating second information including at least a plot summary related to the content or promotion of the text or the audio, a character related to the text or the audio, and a recommendation related to the text or the audio; a suggestion step of generating, based on the second information, suggestion information that can contribute to creating content or promoting the text or the audio; A program that executes a process including:

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