KR102641638B1 - Method, device, and system for providing a platform service for writing and managing manuscripts based on a generative artificial intelligence model - Google Patents

Abstract

According to one embodiment, the device obtains the field of the manuscript to be written from the user's terminal, obtains the topic of the manuscript, and enters the field of the manuscript and the topic of the manuscript into a generative artificial intelligence model to create key keywords for writing the manuscript. and table of contents are obtained, a writing guide for the manuscript is created using the main keywords and the table of contents, and the writing guide is provided to the user's terminal.

Description

Method, device and system for providing generative artificial intelligence model-based manuscript writing and management platform service { METHOD, DEVICE, AND SYSTEM FOR PROVIDING A PLATFORM SERVICE FOR WRITING AND MANAGING MANUSCRIPTS BASED ON A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL }

The examples below relate to a method of providing a platform service for writing and managing manuscripts based on a generative artificial intelligence model.

Writing is an important work process in many industries, but many business professionals, marketers, writers, and researchers struggle to write effective and high-quality articles.

In relation to this, a writing system has emerged, but most of the existing writing systems consist of lectures, so it is difficult to receive practical help as you have to write a manuscript after taking a lecture without the help of an expert.

In addition, beginners in writing often give up because writing takes more time and effort than necessary, and even if they write a manuscript, it often does not fit the context, so it takes a long time to finally complete the draft. has increased.

Therefore, technology related to generative artificial intelligence model-based manuscript writing and management platform services is required to lower the entry barrier to writing and increase work efficiency.

Korean Patent No. 10-1938097 (announced on January 15, 2019) Korean Patent No. 10-2193230 (announced on December 18, 2020) Korean Patent No. 10-2304679 (announced on September 24, 2021) Korean Patent No. 10-2537347 (announced on 2023.06.05)

Embodiments seek to create a guide for writing manuscripts so that users can conveniently write manuscripts based on a generative artificial intelligence model.

Embodiments are intended to manage a user's writing of a manuscript within a period and provide a design for publication of the manuscript.

Embodiments seek to obtain the subject of a manuscript to be written by a user in various ways.

A method of providing a generative artificial intelligence model-based manuscript writing and management platform service includes the steps of obtaining the field of the manuscript to be written from the user's terminal; Obtaining the topic of the manuscript in at least one of the following ways: receiving from the user's terminal, generating through answers to a pre-generated questionnaire, and generating through a generative artificial intelligence model; Inputting the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model to obtain key keywords and a table of contents for writing the manuscript; and generating a writing guide for the manuscript using the main keywords and the table of contents, and providing the writing guide to the user's terminal.

A method of providing a generative artificial intelligence model-based manuscript writing and management platform service includes the steps of inputting the field of the manuscript and the subject of the manuscript into the generative artificial intelligence model to obtain the volume of the manuscript; Obtaining a deadline from the user's terminal; generating a schedule for writing the manuscript using the amount of the manuscript and the deadline and providing the schedule to the user's terminal; providing a notification to the user's terminal by comparing the scheduled writing amount of the manuscript according to the schedule with the current writing amount of the manuscript input to the user's terminal; Obtaining the user's personal information from the user's terminal; and obtaining a basic design for publication of the manuscript by inputting the field of the manuscript, the topic of the manuscript, the main keywords, the table of contents, and the personal information into the generative artificial intelligence model.

The step of obtaining the topic of the manuscript through answers to a pre-generated questionnaire includes obtaining the user's personal information from the user's terminal, and providing a topic of interest to another user who has the same gender as the user's gender. 1 An operation of confirming a topic, an operation of providing a first survey, which is a survey matched to the first topic, to the user's terminal, an operation of obtaining an answer to the first survey from the user's terminal, the user's age and An operation of confirming a topic that another user of the same age is interested in as a second topic, an operation of providing a second survey that is a survey matching the second topic to the user's terminal, and an operation of providing the second survey to the user's terminal. An operation of obtaining an answer, an operation of confirming a topic of interest to another user having the same occupation as the user as a third topic, and providing a third survey, which is a survey matched to the third topic, to the user's terminal. An operation of obtaining an answer to the third questionnaire from the user's terminal, based on the answer to the first questionnaire, the answer to the second questionnaire, and the answer to the third questionnaire, the amount of answer and the positive keyword It includes an operation of generating a score corresponding to each questionnaire in proportion to the number, and an operation of selecting the topic that matches the questionnaire with the highest score as the topic of the manuscript.

The step of generating the topic of the manuscript through a generative artificial intelligence model includes obtaining posts uploaded during a first preset period through a website, and based on the posts, the number of comments is greater than the first preset target number. An operation of selecting a post with a larger number of views than a preset second target number as a popular post, an operation of acquiring a current issue by inputting the popular post into the generative artificial intelligence model, and converting the current issue into a topic of the manuscript. It includes the operation of selecting.

The method of providing a manuscript writing and management platform service based on a generative artificial intelligence model further includes the step of writing a text through the generative artificial intelligence model, and the step of writing a text through the generative artificial intelligence model includes: An operation of obtaining an example text by inputting the subject of the manuscript, the main keywords, and the table of contents for writing the text, which is the table of contents for which the text is to be written, into the artificial intelligence model, and displaying the example text in a first color so that the user can An operation of providing to a terminal, an operation of obtaining a text amendment corresponding to the example text from the user's terminal, an operation of comparing the example text and the text amendment, and generating a degree of consistency between the example text and the text amendment, An operation of determining whether the degree of agreement is higher than a preset first ratio; If it is determined that the degree of agreement is higher than the first rate, an operation of maintaining the text amendment in the first color; determining that the degree of agreement is not higher than the first rate. If determined, an operation of determining whether the degree of agreement is higher than a preset second rate; if it is determined that the degree of agreement is higher than the second rate, an operation of displaying the text amendment in a second color; and If it is determined that it is not higher than the ratio, an operation of displaying the text amendment in a third color is included.

The step of creating a schedule for writing the manuscript using the amount of the manuscript and the deadline includes the operation of checking the average time for writing the manuscript for each day of the week based on the user's writing history, and the average time is a preset standard. An operation to select a day longer than the time as a day of the week to increase concentration, an operation to check the average amount of manuscript writing by time zone based on the day of the week to increase concentration, an operation to check the number of errors in the average manuscript by time zone, the average amount of manuscript writing is the standard writing amount It includes an operation of selecting a time zone where the number of errors is greater than a preset reference number as the concentration increase time zone, and an operation of generating a schedule based on the selected concentration increase day and the concentration increase time zone.

The device according to one embodiment may be combined with hardware and controlled by a computer program stored in a medium to execute any one of the above-described methods.

Embodiments may generate a manuscript writing guide based on a generative artificial intelligence model so that users can conveniently write a manuscript.

Embodiments may manage a user to write a manuscript within a period and provide a design for publication of the manuscript.

Embodiments may obtain the topic of a manuscript to be written by a user in various ways.

Meanwhile, the effects according to the embodiments are not limited to those mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below.

1 is a diagram schematically showing the configuration of a system according to an embodiment.
Figure 2 is a flow chart to explain the process of creating a manuscript writing guide based on a generative artificial intelligence model according to an embodiment.
Figure 3 is a flow chart to explain the process of managing to smoothly write a manuscript according to an embodiment.
Figure 4 is a diagram illustrating a process for obtaining the subject of a manuscript through answers to a questionnaire according to an embodiment.
Figure 5 is a flow chart to explain the process of generating the subject of a manuscript through a generative artificial intelligence model according to an embodiment.
Figure 6 is a flowchart explaining the process of writing text using a generative artificial intelligence model according to an embodiment.
Figure 7 is a flowchart explaining the process of creating a schedule according to an embodiment.
Figure 8 is an exemplary diagram of the configuration of a device according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the attached drawings. However, various changes can be made to the embodiments, so the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents, or substitutes for the embodiments are included in the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only and may be modified and implemented in various forms. Accordingly, the embodiments are not limited to the specific disclosed form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical spirit.

Terms such as first or second may be used to describe various components, but these terms should be interpreted only for the purpose of distinguishing one component from another component. For example, a first component may be named a second component, and similarly, the second component may also be named a first component.

When a component is referred to as being “connected” to another component, it should be understood that it may be directly connected or connected to the other component, but that other components may exist in between.

The terms used in the examples are for descriptive purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the embodiments belong. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

In addition, when describing with reference to the accompanying drawings, identical components will be assigned the same reference numerals regardless of the reference numerals, and overlapping descriptions thereof will be omitted. In describing the embodiments, if it is determined that detailed descriptions of related known technologies may unnecessarily obscure the gist of the embodiments, the detailed descriptions are omitted.

Embodiments may be implemented in various types of products such as personal computers, laptop computers, tablet computers, smart phones, televisions, smart home appliances, intelligent vehicles, kiosks, and wearable devices.

Figure 1 is a diagram schematically showing the configuration of a system according to an embodiment.

Referring to FIG. 1, a system according to an embodiment may include a user terminal 100 and a device 200 that can communicate with each other through a communication network.

First, a communication network can be configured regardless of the communication mode, such as wired or wireless, and can be implemented in various forms to enable communication between servers and between servers and terminals.

The user terminal 100 is a terminal used by a user who wants to write a manuscript, and may be implemented as a mobile phone, desktop PC, laptop PC, tablet PC, smartphone, etc., but is not limited thereto, and may be connected to an external server. It can also be implemented with various types of communication devices. For example, as shown in FIG. 1, the user's terminal 100 may be a smartphone, and may be employed differently depending on the embodiment.

The user's terminal 100 may be configured to perform all or part of the calculation function, storage/reference function, input/output function, and control function of a typical computer. The user's terminal 100 may be configured to communicate with the device 200 wired or wirelessly.

The user's terminal 100 is connected to a website operated by a person or organization that provides services using the device 200, or an application developed and distributed by a person or organization that provides services using the device 200. This can be installed. The user's terminal 100 may be linked to the device 200 through a website or application.

In FIG. 1 and the following description, for convenience of explanation, only the user terminal 100 is shown and described, but the number of terminals may vary depending on the embodiment. As long as the processing capacity of the device 200 allows, the number of terminals is not particularly limited.

The device 200 may be its own server owned by a person or organization that provides services using the device 200, a cloud server, or a p2p (peer-to-peer) set of distributed nodes. It may be possible. The device 200 may be configured to perform all or part of the calculation function, storage/reference function, input/output function, and control function of a typical computer. The device 200 may be configured to communicate with the user's terminal 100 wired or wirelessly.

Additionally, the device 200 may be equipped with a generative artificial intelligence model or may communicate with a separate generative artificial intelligence model wired or wirelessly. Here, the generative artificial intelligence model is an artificial intelligence model that generates various types of data such as text, image, and voice for a given input. The generative artificial intelligence model is based on deep learning and natural language processing technology, and is a language generation model. and image generation model. Additionally, the generative artificial intelligence model may be implemented in the same form as a commonly used generative artificial intelligence model, and the generative artificial intelligence model may be a model of the same type as the Chat GPT model.

Additionally, the device 200 can communicate wired or wirelessly with websites including web pages including articles and SNS including blogs, cafes, Instagram, Facebook, Twitter, and YouTube, and the device 200 You can obtain information by accessing the website.

The device 200 obtains the field of the manuscript to be written from the user's terminal 100, obtains the topic of the manuscript, and enters the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model to provide the main information for writing the manuscript. Keywords and the table of contents can be obtained, a writing guide for the manuscript can be created using the main keywords and the table of contents, and the writing guide can be provided to the user's terminal 100.

Figure 2 is a flow chart to explain the process of creating a manuscript writing guide based on a generative artificial intelligence model according to an embodiment.

Referring to FIG. 2, first, in step S201, the device 200 may obtain the field of the manuscript to be written from the user's terminal 100. Here, the field of the manuscript may include novels, self-help books, essays, manuals, and fairy tales, and other fields of the manuscript may also be included.

Specifically, the device 200 may obtain from the user's terminal 100 the field of the manuscript the user wants to write, among novels, self-help books, essays, manuals, and fairy tales.

Through at least one of steps S202-1, S202-2, and S202-3, the device 200 may obtain the subject matter of the manuscript.

In step S202-1, the device 200 may receive the subject matter of the manuscript from the user's terminal 100. Specifically, the device 200 may receive the subject of the manuscript the user wants to write from the user's terminal 100.

Additionally, in step S202-2, the device 200 may provide a questionnaire to the user's terminal 100 and create a topic for the manuscript through the answers to the questionnaire. Specifically, the device 200 can provide a pre-generated survey to the user's terminal 100 to identify the user's topic of interest, and obtain an answer to the survey from the user's terminal 100. Additionally, the device 200 can identify the user's topic of interest through the answer obtained from the user's terminal 100 and create the identified topic of interest of the user as the topic of the manuscript. A detailed description in this regard will be made with reference to FIG. 4 .

Additionally, in step S202-3, the device 200 may generate the subject of the manuscript through a generative artificial intelligence model. Specifically, the device 200 can obtain recently popular posts through a website and apply the acquired posts to a generative artificial intelligence model to identify recent issues. Additionally, the device 200 may create the identified recent issue as the topic of the manuscript. A detailed description in this regard will be made with reference to FIG. 5 .

That is, the device 200 receives the topic of the manuscript from the user's terminal 100, generates the topic of the manuscript through the answers to the questionnaire obtained from the user's terminal 100, and uses a generative artificial intelligence model. The subject of the manuscript can be obtained through at least one method of generating the subject of the manuscript.

In step S203, the device 200 may input the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model to obtain key keywords and a table of contents for writing the manuscript.

Specifically, the device 200 can input the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model to obtain key keywords for writing the manuscript and a table of contents that can guide the writing of the manuscript. Here, the generative artificial intelligence model is an artificial intelligence model that generates various types of data such as text, image, and voice for a given input. The generative artificial intelligence model is based on deep learning and natural language processing technology, and is a language generation model. and image generation model. Additionally, the generative artificial intelligence model may be provided in the device 200 or may communicate with the device 200 wired or wirelessly as a separate artificial intelligence model. Additionally, the generative artificial intelligence model may be implemented in the same form as a commonly used generative artificial intelligence model, and the generative artificial intelligence model may be a model of the same type as the ChatGPT model.

For example, if a novel is acquired as the field of the manuscript and global warming is acquired as the subject of the manuscript, the device 200 provides the generative artificial intelligence model with 'Main keywords for writing a manuscript when writing a novel related to global warming. You can enter 'Tell me.', and from the generative artificial intelligence model, you can select 'climate change', 'natural disaster', 'environmental protection activist', 'world of the future', 'extinction and conservation of animals', and 'renewable energy'. 'and new technology' and 'refugee issue' can be obtained as main keywords. Additionally, the device 200 can input 'Please tell me the table of contents for writing a manuscript when I want to write a novel related to global warming.' into the generative artificial intelligence model, and input 'Title:' from the generative artificial intelligence model. "Never-Ending Summer", 1. Introduction (present-day Earth), 2. Human choice (consumption and waste/change in lifestyle), 3. Nature's resistance (nature's rebellion/harmony between humans and nature), 4. Conflict between humans (resource distribution and migration/changes in politics and economy), 5. Light of hope (courageous stories to protect the earth/message to the future), 6. Conclusion (the meaning of unending summer)' It can be obtained.

In step S204, the device 200 may create a writing guide for the manuscript using main keywords and the table of contents, and provide the writing guide to the user's terminal 100.

Specifically, the device 200 can generate a manuscript writing guide that allows users to easily write a manuscript using main keywords and a table of contents obtained through a generative artificial intelligence model, and the generated writing guide can be used by the user. It can be provided through the terminal 100.

At this time, in the process of providing a guide for writing a manuscript, the device 200 can visually provide keywords that can be entered in the table of contents and key keywords obtained through a generative artificial intelligence model, and also, the device (200) can check posts containing background knowledge related to main keywords through the website, and provide links to confirmed posts in the form of hyperlinks along with main keywords.

Because of this, the user does not experience difficulty in writing the manuscript and can easily write the manuscript through the writing guide. In other words, the device 200 has the effect of increasing user convenience and accessibility in the process of creating a manuscript.

Figure 3 is a flow chart to explain the process of managing to smoothly write a manuscript according to an embodiment.

Referring to FIG. 3, first, in step S301, the device 200 may obtain the volume of the manuscript by inputting the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model.

Specifically, the device 200 may obtain the volume of the manuscript by inputting the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model.

For example, if novels are acquired as the field of the manuscript and global warming is obtained as the subject of the manuscript, the device 200 inputs 'Please tell me the average manuscript length of novels with global warming as the topic' into the generative artificial intelligence model. This can be done, and ‘200 pages’ can be obtained as the length of the manuscript from the generative artificial intelligence model.

Meanwhile, the device 200 can obtain the user's writing history through the database during this process, and can check the number of times the user has previously written a manuscript through the user's writing history. In addition, the device 200 can generate a weight in proportion to the number of times the user has previously written a manuscript, and generate the final volume of the manuscript by multiplying the volume of the manuscript obtained through the generative artificial intelligence model by the generated weight. You can. That is, the device 200 generates a higher weight as the number of times the user has previously written a manuscript, thereby generating a longer manuscript, and generates a lower weight as the number of times the user has previously written a manuscript, so that the manuscript can be lengthened. You can create a short amount of time.

In step S302, the device 200 may obtain the deadline from the user's terminal 100.

Specifically, the device 200 may obtain a deadline for writing the manuscript by when the user's terminal 100 will write the manuscript.

In step S303, the device 200 may create a schedule for writing the manuscript using the volume and deadline of the manuscript and provide the schedule to the user's terminal 100.

Specifically, the device 200 can calculate the writing period, which is the period between the current point and the deadline, based on the deadline obtained from the user's terminal 100, and the device 200 writes the amount of the manuscript. The volume according to the period can be calculated by dividing it into periods, and a schedule can be created based on the volume according to the period. At this time, the amount according to the period may be the amount to be written per day, the amount to be written per week, or the amount according to other periods. For example, if the device 200 acquires 200 sheets of manuscript and 50 days are calculated as the writing period between the current point and the deadline, the device 200 divides 200 sheets by 50 days and obtains 1 4 sheets per day can be calculated according to the period, and a schedule can be created based on 4 sheets per day.

Meanwhile, in order to create a schedule, the device 200 may obtain a table of contents from the user's terminal 100 that is easy for the user to write the text as the first table of contents, and select the text from the table of contents from the user's terminal 100. You can obtain a table of contents that is difficult to write as a second table of contents. Additionally, the device 200 may create a schedule by considering the positions of the first table of contents and the second table of contents included in the manuscript. For example, when the device 200 creates a schedule based on 4 pages per day, the device 200 determines the period for creating the first table of contents and the period for creating the second table of contents and creates the first table of contents. During the writing period, the schedule can be adjusted to write 3 pages per day, and during the period of writing the second table of contents, the schedule can be adjusted to write 5 pages per day.

Additionally, the device 200 may provide the generated schedule to the user's terminal 100.

In step S304, the device 200 may provide a notification to the user's terminal 100 by comparing the scheduled writing volume of the manuscript according to the schedule with the current writing volume of the manuscript input to the user's terminal 100.

Specifically, the device 200 may create a schedule based on the amount and deadline of the manuscript, and the device 200 may generate a schedule according to the schedule at preset intervals to check whether the user is writing the manuscript as scheduled. The planned amount of writing can be compared with the current amount of writing of the manuscript entered into the user's terminal 100. Additionally, if, as a result of comparison, it is determined that the scheduled amount of manuscript preparation according to the schedule is greater than the current preparation amount of the manuscript, the device 200 may provide a notification requesting the user's terminal 100 to write the manuscript.

Meanwhile, if, as a result of comparison, it is confirmed that the scheduled amount of writing of the manuscript according to the schedule is not more than the current amount of writing of the manuscript, the device 200 determines that the user is writing the manuscript as scheduled and allows the user to write the manuscript using the user's terminal 100. Requested notifications may not be provided.

In step S305, the device 200 may obtain the user's personal information from the user's terminal 100. Here, the user's personal information may include the user's name, the user's address, the user's gender, the user's age, the user's occupation, and may further include the user's preferred color and the user's preferred design.

Specifically, the device 200 receives the user's personal information including the user's name, user's address, user's gender, user's age, user's occupation, user's preferred color, and user's preferred design from the user's terminal 100. Information can be obtained.

In step S306, the device 200 may obtain a basic design for publication of the manuscript by inputting the field of the manuscript, topic of the manuscript, main keywords, table of contents, and personal information into the generative artificial intelligence model.

Specifically, the device 200 can input the field of the manuscript, the topic of the manuscript, main keywords, table of contents, and the user's personal information into the generative artificial intelligence model, and the basic design for publication of the manuscript from the generative artificial intelligence model. can be obtained.

For example, the device 200 includes the generative artificial intelligence model as 'main keywords include climate change, natural disaster, and future world, and the table of contents includes 1. Current Earth, 2. Human Choice, 3. Nature's Resistance. , 4. Conflict between humans, 5. When a physicist in his 30s who prefers blue wants to write a novel with global warming as the theme, including Light of Hope, he can input 'Print the design.' From the intelligent model, the basic design including cover color, image, font, and letter size can be obtained.

Through this, users can obtain not only a guide to writing the manuscript, but also the basic design of the manuscript, and can also receive schedule management to complete the writing of the manuscript within the deadline.

Figure 4 is a diagram illustrating a process for obtaining the subject of a manuscript through answers to a questionnaire according to an embodiment.

Referring to FIG. 4, first, in step S401, the device 200 may obtain the user's personal information from the user's terminal 100. Here, the user's personal information may include the user's name, the user's address, the user's gender, the user's age, the user's occupation, and may further include the user's preferred color and the user's preferred design.

Specifically, the device 200 receives the user's personal information including the user's name, user's address, user's gender, user's age, user's occupation, user's preferred color, and user's preferred design from the user's terminal 100. Information can be obtained.

In step S402, the device 200 may identify a topic of interest to another user with the same gender as the user as the first topic.

Specifically, when the user writes a manuscript through the platform, the device 200 can generate the user's writing history by matching the user's personal information and the user's writing history, and the created user's writing history can be stored in a database provided in the device 200.

In other words, the device 200 can obtain the user's gender from the user's terminal 100, and can obtain the writing history of another user with the same gender as the user through the database provided in the device 200. there is. In addition, the device 200 can check the topics used by other users with the same gender as the user when writing the manuscript, based on the acquired writing history of other users with the same gender as the user's gender, and confirm the topics used when writing the manuscript. The topic that contains the most of the topics can be identified as the first topic, which is a topic of interest to other users with the same gender as the user.

In step S403, the device 200 may provide a first survey, which is a survey matching the first topic, to the user's terminal 100. To this end, the device 200 may be provided with a subject-survey database or may communicate with a separate subject-survey database wired or wirelessly. Topic - The survey database may store surveys related to the topic. In this case, the survey may be a survey to check whether the user is interested in the topic, and may be a survey that requires a subjective answer. It is not limited.

That is, when the first topic is identified through the user's gender, the device 200 can check the first survey, which is a survey matched to the first topic, through the topic-survey database, and send the first survey to the user's terminal 100. It can be provided as .

In step S404, the device 200 may obtain an answer to the first survey from the user's terminal 100.

Specifically, the device 200 can provide a first survey, which is a survey matching a first topic, to the user's terminal 100 and obtain an answer to the first survey from the user's terminal 100.

In step S405, the device 200 may identify a topic of interest to another user with the same age as the user as the second topic.

Specifically, when the user writes a manuscript through the platform, the device 200 can generate the user's writing history by matching the user's personal information and the user's writing history, and the created user's writing history can be stored in a database provided in the device 200.

That is, the device 200 can obtain the user's age from the user's terminal 100, and can obtain the writing history of another user with the same age as the user through the database provided in the device 200. there is. In addition, the device 200 can check the topics used by other users with the same age as the user when writing the manuscript, based on the acquired writing history of other users with the same age as the user's age, and the confirmed topics are used when writing the manuscript. The topic that contains the most of the topics can be identified as the second topic, which is a topic of interest to other users with the same age as the user.

In step S406, the device 200 may provide a second survey, which is a survey matched to the second topic, to the user's terminal 100. To this end, the device 200 may be provided with a subject-survey database or may communicate with a separate subject-survey database wired or wirelessly. Topic - The survey database may store surveys related to the topic. In this case, the survey may be a survey to check whether the user is interested in the topic, and may be a survey that requires a subjective answer. It is not limited.

That is, when the second topic is identified through the user's age, the device 200 can check the second survey, which is a survey matched to the second topic, through the topic-survey database, and send the second survey to the user's terminal 100. It can be provided as .

In step S407, the device 200 may obtain an answer to the second survey from the user's terminal 100.

Specifically, the device 200 can provide a second survey, which is a survey matched to a second topic, to the user's terminal 100 and obtain an answer to the second survey from the user's terminal 100.

In step S408, the device 200 may identify a topic of interest to another user having the same occupation as the user as a third topic.

Specifically, when the user writes a manuscript through the platform, the device 200 can generate the user's writing history by matching the user's personal information and the user's writing history, and the created user's writing history can be stored in a database provided in the device 200.

That is, the device 200 can obtain the user's occupation from the user's terminal 100, and can obtain the writing history of other users who have the same occupation as the user through the database provided in the device 200. there is. In addition, the device 200 can check the topics used by other users with the same occupation as the user when writing the manuscript, based on the writing history of other users with the same occupation as the acquired user. The topic that contains the most of the topics can be identified as the third topic, which is a topic of interest to other users with the same occupation as the user.

In step S409, the device 200 may provide the third survey, which is a survey matching the third topic, to the user's terminal 100. To this end, the device 200 may be provided with a subject-survey database or may communicate with a separate subject-survey database wired or wirelessly. Topic - The survey database may store surveys related to the topic. In this case, the survey may be a survey to check whether the user is interested in the topic, and may be a survey that requires a subjective answer. It is not limited.

That is, when the third topic is identified through the user's occupation, the device 200 can check the third survey, which is a survey matched to the third topic, through the topic-survey database, and send the third survey to the user's terminal 100. It can be provided as .

In step S410, the device 200 may obtain an answer to the third questionnaire from the user's terminal 100.

Specifically, the device 200 can provide a third survey, which is a survey matched to a third topic, to the user's terminal 100 and obtain an answer to the third survey from the user's terminal 100.

In step S411, the device 200 generates a score corresponding to each questionnaire in proportion to the amount of answers and the number of positive keywords, based on the answers to the first questionnaire, the answers to the second questionnaire, and the answers to the third questionnaire. You can.

Specifically, the device 200 may generate the amount of answers based on the answers to the first questionnaire obtained from the user's terminal 100. At this time, the device 200 can check the total number of characters in the answer to the first questionnaire based on the answer to the first questionnaire obtained from the user's terminal 100, and the total number of answers to the confirmed first questionnaire. The answer volume can be created by dividing the number of characters by the number of first questionnaires. Additionally, the device 200 may generate the number of positive keywords based on the answer to the first questionnaire obtained from the user's terminal 100. At this time, the device 200 may perform a preprocessing process for the answers to the first questionnaire. Specifically, the device 200 may perform a preprocessing process of dividing the sentence into words and removing special characters or unnecessary spaces. can do. Additionally, the device 200 may analyze the answers to the first questionnaire using a natural language processing algorithm. Natural language processing algorithms are used to predict the positive or negative meaning of words by understanding sentence structure, vocabulary meaning, and context. Additionally, the device 200 can classify words extracted through a natural language processing algorithm into positive keywords and negative keywords, where positive keywords include words with a positive meaning, and negative keywords include words with a negative meaning. Words may be included. At this time, the device 200 can also check the number of positive keywords included in the answer to the first survey by using a method commonly used to classify and confirm positive and negative keywords through a natural language processing algorithm.

In addition, the device 200 may generate the answer amount and the number of positive keywords based on the answer to the second questionnaire obtained from the user's terminal 100, and based on the answer to the second questionnaire, the answer amount and The process of generating the number of positive keywords can be performed in the same manner as the process of generating the amount of answers and the number of positive keywords based on the answers to the first questionnaire.

In addition, the device 200 may generate the answer amount and the number of positive keywords based on the answer to the third questionnaire obtained from the user's terminal 100, and based on the answer to the third questionnaire, the answer amount and The process of generating the number of positive keywords can also be performed in the same manner as the process of generating the amount of answers and the number of positive keywords based on the answers to the first questionnaire.

In addition, the device 200 generates the amount of answers and the number of positive keywords through the answers to the first questionnaire, generates the amount of answers and the number of positive keywords through the answers to the second questionnaire, and generates the amount of answers and the number of positive keywords through the answers to the third questionnaire. When the amount of answers and the number of positive keywords are generated, the device 200 can generate a score corresponding to each questionnaire in proportion to the amount of answers and the number of positive keywords.

In other words, the longer the answer and the larger the number of positive keywords, the device 200 can generate a higher score corresponding to the corresponding survey. The device 200 can generate a higher score corresponding to the corresponding survey as the answer is shorter and the number of positive keywords is smaller. It is possible to generate a low score corresponding to .

That is, the device 200 can check whether the answer amount is longer than the preset amount and check whether the number of positive keywords is greater than the preset number, so that the answer amount is longer than the set amount and the number of positive keywords is greater than the preset amount. If the number is greater than the set number, the highest score can be given as the score corresponding to the survey, and if the length of the answer is not longer than the set amount or the number of positive keywords is not more than the set number, the score corresponding to the survey can be awarded. A score corresponding to the survey can be given in proportion to the amount of answers and the number of positive keywords. Here, the highest score may be a preset score value and may vary depending on the embodiment.

In step S412, the device 200 may select the topic that matches the questionnaire with the highest score as the topic of the manuscript.

Specifically, the device 200 compares the score corresponding to the first questionnaire, the score corresponding to the second questionnaire, and the score corresponding to the third questionnaire, and selects the topic matching the questionnaire with the highest score as the topic of the manuscript. can do.

Because of this, the device 200 can identify a topic of interest to the user through a survey and select the topic as the topic of the manuscript.

Figure 5 is a flow chart to explain the process of generating the subject of a manuscript through a generative artificial intelligence model according to an embodiment.

Referring to FIG. 5, first, in step S501, the device 200 may obtain posts uploaded during a first period through a website. Here, the first period is a preset period based on the current time and may vary depending on the embodiment. The post may be a post uploaded to SNS such as a cafe, blog, or Instagram, or it may also be a news article uploaded to a media outlet.

Specifically, the device 200 can communicate with the website wired or wirelessly, access the website, and obtain posts uploaded during a first preset period through the website. At this time, in the process of acquiring a post, the device 200 may obtain the post along with the number of comments on the post and the number of views of the post.

In step S502, the device 200 may select a post with more comments than the first target number and more views than the second target number as a popular post, based on the posts. Here, the first target number is a preset number and may vary depending on the embodiment, and the second target number is a preset number and may vary depending on the embodiment.

Specifically, the device 200 may compare the number of comments on the post with the first target number, and compare the number of views on the post with the second target number, through posts obtained through a website. As a result of the comparison, the device 200 may select a post with more comments than the first target number and more views than the second target number as a popular post.

In step S503, the device 200 may obtain current issues by inputting popular posts into the generative artificial intelligence model.

Specifically, the device 200 can input popular posts into a generative artificial intelligence model and obtain current issues from the generative artificial intelligence model.

For example, the device 200 tells the generative artificial intelligence model, 'Based on the first popular post, second most popular post, third most popular post, and fourth most popular post, tell me the most included current issue.' can be entered, and the current issue, which is the topic most included in the 1st popular post, 2nd popular post, 3rd popular post, and 4th popular post, can be obtained from the generative artificial intelligence model.

In step S504, the device 200 may select the current issue as the topic of the manuscript.

Specifically, the device 200 can input popular posts into a generative artificial intelligence model to check the current issue, which is the topic most included in the popular posts, and select the current issue as the subject of the manuscript.

Because of this, if the user does not know what topic to write a manuscript on, the device 200 can determine the current issue through recent popular posts, select the current issue as the topic of the manuscript, and recommend the topic to the user. .

Figure 6 is a flowchart explaining the process of writing text using a generative artificial intelligence model according to an embodiment.

Referring to FIG. 6, first, in step S601, the device 200 may obtain an example text by inputting the subject of the manuscript, the field of the manuscript, main keywords, and the table of contents for writing the text into the generative artificial intelligence model. Here, the table of contents for writing the text may be a table of contents for which the user wants to write the text among the tables of contents included in the manuscript.

Specifically, the device 200 can input the subject of the manuscript, the field of the manuscript, main keywords, and the table of contents for writing the text into the generative artificial intelligence model, and obtain an example text from the generative artificial intelligence model. At this time, the table of contents for writing the text may be the table of contents in which the user wants to write the text.

In step S602, the device 200 may display the example text in a first color and provide it to the user's terminal 100.

Specifically, the device 200 can obtain example text by inputting the subject of the manuscript, the field of the manuscript, main keywords, and the table of contents of the text composition into the generative artificial intelligence model, and display the obtained example text in the first color. It can be provided to the user's terminal 100.

For example, the device 200 can obtain an example text by inputting the subject of the manuscript, the field of the manuscript, main keywords, and the table of contents of the text composition into the generative artificial intelligence model, and display the example text in red, the first color. This can be provided to the user's terminal 100.

In step S603, the device 200 may obtain a text correction corresponding to the example text from the user's terminal 100.

Specifically, the device 200 may obtain a text amendment corrected and corrected by the user corresponding to the example text from the user's terminal 100.

In step S604, the device 200 may compare the example text and the text amendment to generate a degree of consistency between the example text and the text amendment.

Specifically, the device 200 may compare the example text and the text amendment to generate a degree of correspondence between the example text and the text amendment. At this time, the device 200 may use cosine similarity, Euclidean distance, Jacquard similarity, etc. to generate the degree of correspondence. A match may be generated by checking the sentence similarity and calculating the similarity between two sentences, and the device 200 may generate a match by evaluating the similarity between texts using a natural language processing model and a text similarity model, and the device ( 200) may calculate the ratio of matching tokens by comparing tokens (words, phrases, etc.) of the example text and the text modification to generate a degree of agreement, and the device 200 may utilize sentence embedding to convert the sentence into a vector and , the semantic similarity between sentences can also be evaluated to generate concordance. Meanwhile, the device 200 may also generate the consistency between the example text and the text amendment by performing the same method as the method for generating the consistency between two commonly used texts.

In step S605, the device 200 may check whether the degree of agreement is higher than the first reference rate. Here, the first reference ratio is a preset ratio and may vary depending on the embodiment.

If the match is confirmed to be higher than the first standard ratio in step S605, the device 200 may maintain the text correction in the first color in step S606.

Specifically, the device 200 determines that the user has hardly modified the text and, if it is determined that the consistency between the example text and the text amendment is higher than the preset first standard ratio as a result of checking the consistency between the example text and the text amendment, makes the text correction. can be maintained as the first color.

For example, as a result of checking the consistency between the example text and the text amendment, the device 200 determines that the consistency between the example text and the text amendment is 95%, which is higher than the first standard ratio of 90%, and sets the text amendment in the first color. It can be kept in red.

If it is determined in step S605 that the degree of agreement is not higher than the first reference rate, in step S607, the device 200 may check whether the degree of agreement is higher than the second standard rate. Here, the second reference ratio is a preset ratio that is lower than the first reference ratio and may vary depending on the embodiment.

If the match is confirmed to be higher than the second standard ratio in step S607, the device 200 may display the text correction in a second color in step S608.

Specifically, the device 200 checks the degree of correspondence between the example text and the main text amendment, and if it is determined that the degree of correspondence between the example text and the main text amendment is not higher than the first preset standard ratio and is higher than the preset second standard ratio, the user sends the text has been confirmed to have been modified, but it is judged to still have a high degree of consistency with the example, so the text revisions can be displayed in a second color.

For example, the device 200 checked the consistency between the example text and the text amendment, and found that the consistency between the example text and the text amendment was 80%, which was lower than the first standard ratio of 90% and higher than the second standard ratio of 60%. Once confirmed, text amendments can be displayed in a secondary color, blue.

If it is confirmed in step S607 that the degree of agreement is not higher than the second standard ratio, in step S609, the device 200 may display the text correction in a third color.

Specifically, the device 200 checks the degree of correspondence between the example text and the main text amendment, and if it is determined that the degree of correspondence between the example text and the main text amendment is not higher than the preset first standard ratio and the preset second standard ratio, the user can edit the main text. If it is determined that the consistency with the example is low after revision, the text revision can be displayed in a third color.

For example, as a result of checking the consistency between the example text and the text amendment, the device 200 confirmed that the consistency between the example text and the text amendment was 40%, which is lower than the first standard ratio of 90% and the second standard ratio of 60%. If so, the text amendments can be displayed in black, a third color.

That is, the device 200 can measure the degree of deformation by comparing the example text output through the generative artificial intelligence model with the text revision changed by the user's correction, and express the measured degree of deformation in color to inform the user. You can. This has the effect of allowing users to write manuscripts while being aware of copyright issues.

Figure 7 is a flowchart explaining the process of creating a schedule according to an embodiment.

Referring to FIG. 7, first, in step S701, the device 200 can check the average time for writing a manuscript for each day of the week based on the user's writing history.

Specifically, when the user writes a manuscript through the platform, the device 200 can generate the user's writing history by matching the user's personal information and the user's writing history, and the created user's writing history can be stored in a database provided in the device 200.

That is, the device 200 can obtain the user's writing history from the database in order to create a schedule, and based on the obtained user's writing history, can check the user's history of writing the manuscript, and determine the history of the user's writing the manuscript. By checking the time, you can check the average time the manuscript was written for each day of the week.

In step S702, the device 200 may select a day of the week in which the average time is longer than the reference time as a day of the week to increase concentration. Here, the reference time is a preset time and may vary depending on the embodiment.

Specifically, the device 200 can check the user's average time for writing a manuscript for each day of the week through the user's writing history, and select the day of the week in which the average time is longer than a preset reference time as the day of the week to increase concentration.

For example, through the user's writing history, the average time a user wrote a manuscript on Monday was 2 hours, the average time a user wrote a manuscript on Tuesday was 1 hour, and the average time a user wrote a manuscript on Wednesday was 4 hours. The average time a user writes a manuscript on Thursday is 5 hours, the average time a user writes a manuscript on Friday is 1 hour, the average time a user writes a manuscript on Saturday is 2 hours, and the average time a user writes a manuscript on Sunday is 2 hours. If the average writing time is 5 hours and the standard time is set to 3 hours, the device 200 checks the average writing time for each day of the week and selects Wednesday, Thursday, and Sunday, which are longer than the standard time of 3 hours, as days of the week to increase concentration. can do.

In step S703, the device 200 may check the average amount of manuscript creation and the average number of errors in the manuscript by time zone, based on the day of the week when concentration increases. Here, the time zones are dawn (00:00 - 04:00), morning (04:00 - 08:00), morning (08:00 - 12:00), afternoon (12:00 - 16:00), evening (16:00 - 20:00), and night. It can be created based on (20:00 ~ 24:00), and can also be created based on other standards.

Specifically, when a day of the week to increase concentration is selected through the user's writing history, the device 200 can check the amount of manuscript written by time zone corresponding to the day of the week to increase concentration through the user's writing history, and You can check the average amount of manuscript writing.

In addition, the device 200 can check the number of errors in the manuscript by time zone in response to the day of the week when concentration increases through the user's writing history and check the average number of errors in the manuscript by time zone. At this time, the device 200 can match the user with a planner who will manage the user's writing of the manuscript, and the planner can check the manuscript written by the user to check for typos, lack of content, schedule management, etc. That is, the device 200 can acquire the manuscript written by the current user in real time from the user's terminal 100, and provide the manuscript written by the user acquired in real time to the planner's terminal, and the device 200 can Errors corresponding to the manuscript written by the user can be obtained through the planner's terminal. Through this, the device 200 can check the number of errors in the manuscript corresponding to the manuscript written by the user for each time zone and check the average number of errors in the manuscript for each time zone.

In step S704, the device 200 may select a time zone in which the average amount of manuscript writing is greater than the standard writing amount and the number of errors is lower than the standard number as the concentration increase time zone. Here, the standard writing amount is a preset writing amount and may vary depending on the embodiment, and the standard number is a preset number and may vary depending on the embodiment.

Specifically, the device 200 can compare the average manuscript writing amount confirmed by time zone with a preset standard writing amount, and compare the average number of errors in the manuscript confirmed by time zone with a preset standard number. As a result of the comparison, the device 200 may select a time zone in which the average amount of manuscript writing is greater than the preset standard writing amount and the number of errors is lower than the preset standard number as the concentration increase time zone.

In step S705, the device 200 may create a schedule based on the day of the week when concentration increases and the time zone when concentration increases.

Specifically, the device 200 may generate a schedule based on the concentration increase day selected through the average time for writing a manuscript and the concentration increase time zone selected through the average amount of manuscript writing and the average number of errors in the manuscript.

Because of this, the device 200 can determine the point in time when the user has high concentration when writing a manuscript and create a schedule taking that point in consideration. In addition, in the process of checking when concentration is high, the device 200 not only considers the manuscript writing time and amount of manuscript writing, but also additionally considers the number of errors to determine whether the user is pressed for time and has increased the time and amount of manuscript writing. You can determine whether the time and amount of manuscript writing have increased due to better concentration.

Meanwhile, the device 200 can match a user with a planner capable of managing the user's manuscript, and when the user and the planner are matched, the device 200 obtains the written manuscript from the user's terminal 100 in real time and , can be provided through the terminal of the planner matched with the user.

Through this, the planner can check whether the content of the manuscript is insufficient, whether there are errors including typos in the manuscript, and whether the user writes the manuscript within the schedule. Based on the confirmation result, the planner can check whether the manuscript is insufficient in content, whether the manuscript contains errors including typos, and, based on the confirmation result, is sent to the user's terminal 100. Notification of content supplementation, error correction, and manuscript writing requests can be provided.

At this time, in order to match the user and the planner, the device 200 may be equipped with a planner database or communicate with a separate planner database wired or wirelessly. The planner database may include the planner's name, contact information, and the planner's career by matching the planner. , the planner's information, including the planner's educational background, the planner's qualifications, the planner's schedule, and the planner's planning history, may be stored.

That is, the device 200 can check the planner's schedule stored in the planner database, select a planner who can manage the user's manuscript within the deadline as a candidate planner, and obtain information on the selected candidate planner. .

In addition, the device 200 can check the manuscript previously written by the user through the user's writing history, check the changes made by the planner based on the previously written manuscript, and check the changes made by the planner. As a basis, you can identify the user's weaknesses among lack of content, error creation, and poor time management.

In addition, the device 200 performs at least one of content supplementation, error correction, and schedule management based on the candidate planner's information, the candidate planner's career, the candidate planner's educational background, the candidate planner's qualifications, and the candidate planner's planning history. The strengths of the candidate planner including can be created.

Additionally, the device 200 may compare the user's weaknesses with the candidate planner's strengths and select a candidate planner with strengths corresponding to the user's weaknesses as the user's planner.

Figure 8 is an exemplary diagram of the configuration of a device according to an embodiment.

Device 200 according to one embodiment includes a processor 210 and memory 220. The processor 210 may include at least one device described above with reference to FIGS. 1 to 7 or may perform at least one method described above with reference to FIGS. 1 to 7 . An individual or organization using device 200 may provide services related to some or all of the methods described above with reference to FIGS. 1 to 7 .

The memory 220 may store information related to the methods described above or store a program in which methods described later are implemented. Memory 220 may be volatile memory or non-volatile memory.

The processor 210 can execute programs and control the device 200. The code of the program executed by the processor 210 may be stored in the memory 220. The device 200 is connected to an external device (eg, a personal computer or a network) through an input/output device (not shown) and can exchange data through wired or wireless communication.

The device 200 can be used to train an artificial neural network or use a trained artificial neural network. Memory 220 may include an artificial neural network that is being trained or has been trained. The processor 210 may learn or execute the artificial neural network algorithm stored in the memory 220. The device 200 for training an artificial neural network and the device 200 for using the learned artificial neural network may be the same or may be separate.

The embodiments described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, and a field programmable gate (FPGA). It may be implemented using one or more general-purpose or special-purpose computers, such as an array, programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used on any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

Although the embodiments have been described with limited drawings as described above, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the following claims.

Claims (3)

In a method of providing a generative artificial intelligence model-based manuscript writing and management platform service performed by a device,
Obtaining the field of the manuscript to be written from the user's terminal;
Obtaining the topic of the manuscript in at least one of the following ways: receiving from the user's terminal, generating through answers to a pre-generated questionnaire, and generating through a generative artificial intelligence model;
Inputting the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model to obtain key keywords and a table of contents for writing the manuscript; and
Generating a writing guide for the manuscript using the main keywords and the table of contents, and providing the writing guide to the user's terminal,
The step of obtaining the topic of the manuscript through answers to a pre-generated questionnaire is:
An operation of obtaining the user's personal information from the user's terminal,
An operation of identifying a topic of interest to another user having the same gender as the user as the first topic;
An operation of providing a first survey, which is a survey matching the first topic, to the user's terminal;
An operation of obtaining an answer to the first questionnaire from the user's terminal,
An operation of identifying a topic of interest to another user having the same age as the user as a second topic;
An operation of providing a second survey, which is a survey matching the second topic, to the user's terminal;
An operation of obtaining an answer to the second questionnaire from the user's terminal,
An operation of identifying a topic of interest to another user having the same occupation as the user as a third topic;
An operation of providing a third survey, which is a survey matching the third topic, to the user's terminal;
An operation of obtaining an answer to the third questionnaire from the user's terminal,
An operation of generating a score corresponding to each questionnaire in proportion to the amount of answers and the number of positive keywords, based on the answers to the first questionnaire, the answers to the second questionnaire, and the answers to the third questionnaire, and
Including an operation of selecting the topic matched to the questionnaire with the highest score as the topic of the manuscript,
The step of generating the topic of the manuscript through a generative artificial intelligence model is,
Obtaining posts uploaded through a website during a first preset period of time;
An operation of selecting as a popular post a post with more comments than a preset first target number and more views than a preset second target number, based on the above post;
An operation of acquiring current issues by inputting the popular posts into the generative artificial intelligence model, and
Including an operation of selecting the current issue as the subject of the manuscript,
Method of providing manuscript writing and management platform services based on generative artificial intelligence model. According to paragraph 1,
obtaining the volume of the manuscript by inputting the field of the manuscript and the topic of the manuscript into the generative artificial intelligence model;
Obtaining a deadline from the user's terminal;
generating a schedule for writing the manuscript using the amount of the manuscript and the deadline and providing the schedule to the user's terminal;
providing a notification to the user's terminal by comparing the scheduled writing amount of the manuscript according to the schedule with the current writing amount of the manuscript input to the user's terminal;
Obtaining the user's personal information from the user's terminal; and
Inputting the field of the manuscript, the topic of the manuscript, the main keywords, the table of contents, and the personal information into the generative artificial intelligence model to obtain a basic design for publication of the manuscript; further comprising,
Method of providing manuscript writing and management platform services based on generative artificial intelligence model. delete