Creation support device, creation support method, program, and system

Abstract

To support creation of a project proposal in line with an intention.SOLUTION: A creation support system supports creation of a project proposal by selecting a creator suitable for a project. The creation support system includes: an extraction server 20 which extracts a tag assigned to each creator from content posted by each creator on SNS service 30; a matching part 12 which compares a keyword and tag listed in a template prepared for creating a project proposal, and selects a creator assigned a tag similar to the information in the template; and a creation part 13 which creates a project proposal using the template and the creator selected by the matching part 12.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a creation support device, a creation support method, a program, and a system.

Background Art

[0002] Conventionally, the production (publication, broadcasting, etc.) of content has been carried out through the collaborative work of creators and editors. Specifically, editors have grasped the orientations and characteristics of creators, received the demands of the market and fans, and provided appropriate advice to creators to offer content that the market and fans require.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Those who produce events, broadcasts, and content, such as publishers and content distributors, do not fully grasp who the most suitable creators for their intended events, etc. are and where they are located. In addition, with the spread of the Internet, anyone can transmit information, and new creators are emerging one after another. Therefore, the value and importance of editors are increasing.

[0005] Currently, creators directly transmit to their followers through social network services (SNS) and video distribution. However, there is a problem that it is actually difficult for editors to grasp all the content transmitted by creators on SNS, etc. The current situation is that the followers of each creator best understand the orientations and characteristics of the creator.

[0006] Patent Document 1 discloses a matching system that connects ebook authors with anime and manga creators. Patent Document 1 maintains a database of author information, including sample images of anime and manga creators, but does not have a mechanism to follow information disseminated by creators and update the author information.

[0007] This invention has been made in view of the above, and aims to support the creation of project proposals that meet the intended purpose. [Means for solving the problem]

[0008] One embodiment of the present invention is a creation support device that assists in the creation of a project proposal by selecting a person suitable for the project from among a plurality of persons, and comprises: an acquisition unit that acquires information about the persons and the tags assigned to them from a server that holds tags which are strings of characters assigned to each of the plurality of persons; a selection unit that selects a person to whom a tag related to keywords indicating the content of the project described in a template prepared for creating the project proposal has been assigned; and a creation unit that creates the project proposal by describing the information of the selected person in the section for describing person information in the template. [Effects of the Invention]

[0009] According to the present invention, it is possible to support the creation of a project proposal that is in line with the intended purpose. [Brief explanation of the drawing]

[0010] [Figure 1] Figure 1 shows an example of the overall configuration of the creation support system of this embodiment. [Figure 2] Figure 2 is a functional block diagram showing an example of the configuration of the creation support device of this embodiment. [Figure 3] Figure 3 shows an example of the generation of an extraction model by the extraction server. [Figure 4] Figure 4 shows an example of creator and tag information. [Figure 5] Figure 5 shows an example of a project proposal template. [Figure 6] Figure 6 shows an example of a template for planning broadcast content. [Figure 7] Figure 7 shows an example of a project proposal created by the creation support device. [Figure 8] Figure 8 is a flowchart showing an example of the processing flow of the creation support system. [Modes for carrying out the invention]

[0011] [Configuration of the creation support system] Embodiments of the present invention will be described below with reference to the drawings.

[0012] Figure 1 shows an example of the overall configuration of the creation support system of this embodiment. The creation support system of this embodiment is a system that supports the creation of a project proposal, comprising a creation support device 10 and an extraction server 20.

[0013] The creator is assumed to regularly post text, images, music, and videos from device 50 to SNS service 30 and communicate with their followers. Followers are people who have registered to receive the creator's posts on SNS service 30, and are often fans of the creator, people who pay attention to the creator, or people who are interested in the creator.

[0014] The extraction server 20 assigns tags to creators based on the content they post on the SNS service 30. Tags are incidental information that represents the creator's attributes, characteristics, interests, or areas of expertise. For example, if a creator frequently posts content related to dogs on the SNS service 30, that creator will be tagged "dog lover." A creator is not limited to one tag; multiple tags may be assigned. Tags may also represent information about the creator's followers, not just the creator themselves. For example, if many of the followers who commented on a creator's posts are teenage boys, the creator will be tagged "teenage boy" or "popular with teenage boys."

[0015] The creation support device 10 inputs tags assigned to creators and a project proposal template, extracts creators suitable for the project, and assists in the creation of the project proposal.

[0016] Next, with reference to Figure 2, the configuration of the creation support device 10 will be described. The creation support device 10 shown in Figure 2 comprises an acquisition unit 11, a matching unit 12, and a creation unit 13. Each unit of the creation support device 10 may be configured as a computer equipped with an arithmetic processing unit, a storage device, etc., and the processing of each unit may be executed by a program. This program is stored in the storage device of the creation support device 10 and can be recorded on a recording medium such as a magnetic disk, optical disk, or semiconductor memory, or provided via a network. The creation support device 10 may be configured as a virtual server on the cloud, or as a computer terminal such as a personal computer or mobile terminal.

[0017] The acquisition unit 11 acquires the information of the creator and the tags assigned to the creator from the extraction server 20. The extraction server 20 extracts the tags to be assigned to the creator from the content transmitted by the creator acquired from the SNS service 30 and transmits them to the acquisition unit 11. The extraction server 20 may extract the tags using an extraction model representing the relationship between the content transmitted by the creator and the tags, which is created using machine learning. The acquisition unit 11 may have the functions of the extraction server 20.

[0018] The matching unit 12 inputs a template describing the planned content, compares the information of the template with the tags, and extracts the creators to whom tags close to the template are assigned. Related keywords for the plan may be described in the template. The matching unit 12 quantifies the semantic distance between the keyword and the tag, and extracts the creators to whom tags with a close distance obtained are assigned. For example, when the keyword "pet" is described in the template, not only the creators to whom the tag "pet" is assigned, but also the creators to whom tags semantically close to "pet" of keywords such as "dog" and "cat" are assigned are extracted. Technologies used in natural language processing can be used to calculate the distance between the keyword and the tag.

[0019] When a plurality of keywords are described in the template, the matching unit 12 may extract the creators to whom tags close to all of the keywords are assigned, or may extract the creators to whom tags close to some of the keywords are assigned. The matching unit 12 obtains a numerical value indicating the proximity to the keyword for each of the assigned tags for each creator, calculates the score of the creator by summing the obtained numerical values, and may extract the creator with a high score.

[0020] The matching unit 12 may perform morphological analysis on the sentence representing the planned content described in the template to create keywords.

[0021] The creation unit 13 creates a plan document from the template and the information of the extracted creator. For example, the information of the creator is described in a predetermined location in the template.

[0022] [Generating the extraction model] Figure 3 shows an example of the generation of an extraction model by the extraction server 20. The extraction server 20 takes the content of a creator's posts and the tags (ground truth data) assigned to that creator as training data and generates an extraction model using machine learning. When the content of a creator's posts on the SNS service 30 is input to the extraction model, tags to be assigned to the creator are output. The extraction server 20 may also take information about the creator's follower group and tags representing the follower group as training data. This allows the characteristics of people who follow the creator to be assigned as tags to the creator.

[0023] The extraction server 20 periodically retrieves content posted by creators from the SNS service 30, inputs the creator's statements into the extraction model, and assigns tags to the creators. For example, in an SNS service 30 where users can post text and photos, the extraction server 20 inputs the text and photos posted by the creators into the extraction model to obtain tags to assign to the creators. In an SNS service 30 where users can post videos or conduct live streams, the extraction server 20 inputs text obtained by transcribing videos, screenshots of videos, and the videos themselves into the extraction model to obtain tags to assign to the creators. Alternatively, the extraction server 20 may input information about the creator's followers or information about followers who have replied to the creator's statements into the extraction model to obtain tags to assign to the creators. For follower information, the profiles of followers on the SNS service 30 or the content posted by followers can be used. The extraction server 20 may also input content from creators on multiple different SNS services 30. Since each SNS service 30 has its own characteristics, inputting content from different SNS services 30 allows for the assignment of tags that reflect various aspects of the creators.

[0024] The extraction server 20 returns creator and tag information in response to a request from the creation support device 10. Figure 4 shows an example of creator and tag information. As shown in Figure 4, a creator is not limited to one tag.

[0025] [Proposal template] Next, I will explain an example of a project proposal template.

[0026] Figure 5 shows an example of a project proposal template. The template shown in the figure includes an overview that briefly explains the project and the five components of the project: "when," "where," "who," "what," and "how." The overview is a concise explanation of the project so that its intention and appeal are conveyed. "When" indicates the date and time of the event, "where" indicates the venue or media (e.g., the video site to be used), "who" indicates the participating creators, "what" indicates the content of the project (e.g., what will be done in the project), and "how" indicates information such as the scale of the project, budget, and expected number of viewers. The "who" item is left blank. Keywords indicating the characteristics of the creators you would like to see participate may be written in the "who" item.

[0027] When the creation support device 10 receives the template shown in Figure 5 as input, it extracts keywords from the content described in the template's overview. Keywords may also be extracted from each component of the plan. For example, when a planner is planning content about a sweets shop that allows customers to bring their pets, keywords such as "pets" and "sweets" can be included in the template.

[0028] The creation support device 10 calculates the distance between each creator's keywords and the tags assigned to them, and then sums up the calculated distances. For example, creators who have tags that are semantically close to "pets," such as "owns a dog," or tags that are semantically close to "sweets," such as "sweet tooth," will have a high total value. The creation support device 10 then lists the creators with high total values ​​in the "Who" field of the template and creates a project proposal. The creation support device 10 may list multiple creators in the "Who" field, allowing the project proposer to select a creator. Alternatively, the creation support device 10 may decide on a media platform for the selected creator and list it in the "Where" field of the template. For example, the creation support device 10 may decide to distribute content on a video site with a large number of followers for the selected creator, and then apply that video site to the template to create a project proposal.

[0029] Figure 6 shows an example of a template for planning broadcast content distributed over a network. The template shown in the figure includes a timeline for the broadcast content and information on the desired creators for each timeline. The information on the desired creators should include the planned content for the corresponding time slot. Keywords representing the desired creators may also be included in the information on the desired creators.

[0030] When the creation support device 10 receives the template from Figure 6 as input, it extracts keywords from the information of desirable creators for each time period. For each time period and each creator, the creation support device 10 calculates the distance between the keyword and the tag assigned to the creator, and sums up the calculated distances. The creation support device 10 then creates a project proposal listing the creator with the highest total value as the creator suitable for that time period. Figure 7 shows an example of a project proposal created by the creation support device 10 from the template in Figure 6.

[0031] Please note that the template described here is just one example and is not the only one you can use.

[0032] Alternatively, the creation unit 13 may be configured to provide appropriate templates according to the project content and target object, and to generate the target object from the template.

[0033] [Operation of the creation support system] Next, we will explain the processing flow of the creation support system by referring to the flowchart in Figure 8.

[0034] In step S11, the extraction server 20 collects content posted by creators from the SNS service 30 and extracts tags to be assigned to the creators. Note that the process in step S11 may be performed periodically or when the creation support device 10 creates a project proposal. The extraction server 20 may also maintain account information for each creator for each of the multiple SNS services 30 and collect content posted by creators from multiple SNS services 30.

[0035] In step S12, the creation support device 10 inputs a template and retrieves creators and tags assigned to them from the extraction server 20. It then compares the template information with the creator tags to select a creator suitable for the template.

[0036] In step S13, the creation support device 10 creates a project proposal using the template and the creator selected in step S12.

[0037] [Application to crowdfunding] Next, we will describe an example of applying the creation support system of this embodiment to crowdfunding. Crowdfunding is a system for raising small amounts of money from an unspecified number of people who support a project via the internet.

[0038] Currently, there are many crowdfunding services available, allowing anyone to become a project creator and solicit support for various types of projects. Numerous projects are seeking support through these crowdfunding services. Among these various projects, it is likely that some share similarities and could achieve better results by working together. This embodiment of the creation support system can assist in creating new projects by combining projects that are likely to yield better results through collaboration. For example, this embodiment of the creation support system can be used to propose a plan that combines a project to hold a live concert in Shinjuku with a project to hold a live concert in Shibuya. The following describes a specific example of using this embodiment of the creation support system.

[0039] The extraction server 20 extracts tags to be assigned to each project from the crowdfunding service. The tags may be extracted using the project description or the project creator's profile.

[0040] The project creator specifies their own project registered with the crowdfunding service and inputs the project information as a template into the creation support device 10. The information entered when registering the project with the crowdfunding service may also be used as the template.

[0041] The creation support device 10 compares the template with the project tags, selects a project that is similar to the template, and creates a new project proposal by combining the initiator's project and the selected project.

[0042] The project initiator sends a proposal for a new project to the project initiator of the project selected by the project creation support device 10, proposing that they proceed with the project jointly.

[0043] Furthermore, a crowdfunding service could incorporate a creation support system function, using one of the registered projects as a template, extracting similar projects to create a new project proposal, sending the proposal to the creators of these projects, and proposing that they collaborate on the project. Alternatively, when a new project is registered, the crowdfunding service could use the information of the new project to be registered as a template, extracting similar already registered projects, and proposing that the creators of these projects collaborate on the project.

[0044] [Differentiation] In each of the above embodiments and examples, we have described an example in which the system uses tag information of selected candidates, such as creators and crowdfunding platforms, to match them with the most suitable project proposal or the most suitable other crowdfunding platform. In implementing the present invention, it is possible to use not only the above-mentioned tag information, but also various information possessed by or attached to selected candidates, such as creators and crowdfunding platforms (hereinafter, including tag information, referred to as "feature data") for matching, and any implementation is encompassed by the present invention.

[0045] Feature data may include, for example, hashtags ("#") attached to messages posted on social media by creators and those involved in crowdfunding; the genre of work or business to which the creator or crowdfunding belongs; the region of residence or the region where events are held; the age range, occupation or work history (career) of the creator or those involved in crowdfunding; words or phrases that frequently appear in messages posted on social media by creators and those involved in crowdfunding; linguistic information such as slogans, policies, and aspirations declared by creators and those involved in crowdfunding or assigned by others; photos, videos, and live streams posted on social media; financial information such as the sales scale, sales forecast, sales results, number of copies printed, donation amounts, and donation targets of creators and crowdfunding; information on other creators, publishers, companies, celebrities, local governments that support the creator, or the number of followers; and information on other crowdfunding projects, publishers, companies, celebrities, or local governments that donate to or support the crowdfunding project.

[0046] When selecting a suitable candidate from a pool of creator candidates for a project proposal, it is possible to use the project proposals that a particular creator has previously worked on as characteristic data to determine their compatibility with the current proposal.

[0047] When pairing crowdfunding projects, the presence and number of people who have donated to both projects may be used as characteristic data. Furthermore, when pairing crowdfunding projects, the project proposals, statements of intent, etc., of each project may be used as characteristic data to determine their compatibility.

[0048] Alternatively, information obtained by analyzing image data posted on social media, etc., can be used as feature data. For example, if there are many photos of forests and grass, the system could determine that there is a good affinity with companies that use green as their corporate color, and also that there is a good affinity with fields that are linguistically associated with green, such as law or peace and tranquility.

[0049] You can use the content itself from creators or crowdfunding campaigns as feature data to determine the distance between it and the template, or you can use a vector representation of the content as feature data. Any format of data that can be obtained from the content can be used as feature data.

[0050] As described above, the creation support system of this embodiment includes an extraction server 20 that extracts tags to be assigned to each creator from the content that each creator sends to the SNS service 30, a matching unit 12 that compares the keywords and tags written in a template prepared for creating a project proposal and selects a creator with tags that are similar to the information in the template, and a creation unit 13 that creates a project proposal using the template and the creator selected by the matching unit 12. The creation support system assigns tags that represent creators based on the content that creators send out on a daily basis and selects a creator with tags that are similar to the information in a template prepared for creating a project proposal, thus supporting the creation of a project proposal that meets the user's intentions. [Explanation of Symbols]

[0051] 10...Creation support device 11…Acquisition part 12…Matching Department 13…Creation Department 20… Extraction Server 30…SNS services 50… Terminal

Claims

1. A creation support device that selects a person suitable for the project from among several people and assists in the creation of a project proposal, An acquisition unit that acquires information about a person and the tag assigned to that person from a server that holds tags, which are strings assigned to each of the aforementioned multiple persons. A selection unit for selecting the person to whom tags related to keywords indicating the project content described in the template prepared for creating the aforementioned project proposal have been assigned, The system includes a creation unit that creates the project proposal by entering the information of the selected person into the section for person information in the template. Creation support device.

2. A manufacturing support device according to claim 1, The selection unit selects individuals who have been assigned the same tags as the keyword. Creation support device.

3. A manufacturing support device according to claim 1 or 2, The creation unit records the information of multiple individuals in the section of the template where the person information is to be recorded. Creation support device.

4. A manufacturing support device according to any one of claims 1 to 3, The aforementioned template includes the content of the plan for each time slot. The selection unit selects individuals for each time slot who have been assigned tags related to keywords indicating the content of the program for that time slot. Creation support device.

5. A method of assisting in the creation of a project proposal by selecting a person suitable for the project from among several individuals, Computers From a server that holds tags, which are strings assigned to each of the aforementioned individuals, information about the individuals and the tags assigned to them are retrieved. Select a person who has been tagged with a keyword related to the project content described in the template prepared for creating the aforementioned project proposal. Enter the information of the selected person in the designated section for person information in the template and create the project proposal. Creation support methods.

6. A program that operates a computer as a creation support device to assist in the creation of a project proposal by selecting the most suitable person from among several individuals. A process to retrieve information about a person and the tag assigned to that person from a server that holds tags, which are strings assigned to each of the aforementioned multiple persons. The process involves selecting individuals who have been tagged with keywords related to the project content described in the template prepared for creating the aforementioned project proposal, and The computer is instructed to create the project proposal by entering the information of the selected person into the designated section for person information in the template. program.

7. A system comprising a server and a creation support device to support the creation of a project proposal, The server takes the content of posts made by multiple individuals on a social networking service as input and outputs tags, which are strings corresponding to the content of those posts, as input to an extraction model that outputs tags corresponding to the content of those posts. The creation support device is, An acquisition unit that acquires information about the person and tags assigned to the person from the server, A selection section for selecting individuals who have been tagged with keywords related to the project content described in the template prepared for creating the aforementioned project proposal, The system includes a creation unit that creates the project proposal by entering the information of the selected person into the section for person information in the template, The aforementioned extraction model is a machine learning model that uses the content of posts made on social networking services and the tags representing that content as training data. system.

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