JP2022105975A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To highly efficiently extract and peruse user-generated contents with high topicality in a short time.

SOLUTION: The present disclosure provides an information processing device for extracting user-generated contents delivered via a network. The information processing device includes a control unit that acquires survey object contents associated with a prescribed word from among the user-generated contents delivered currently; acquires the number of views and the number of subscribers to the channel of each content included in the survey object contents; calculates a prescribed degree of topicality representing the topicality of each user-generated content based on the acquired number of views and number of subscribers to the channel; determines whether or not the calculated degree of topicality is higher than a prescribed threshold; and extracts user-generated contents whose topicality degrees are determined to be higher than the threshold.

SELECTED DRAWING: Figure 3

COPYRIGHT: (C)2022,JPO&INPIT

Description

The present invention relates to an information processing device, an information processing method, and an information processing program for extracting user-generated content distributed via a network.

In recent years, Internet users have been asked to utilize various media such as blogs and social networking services (SNS) such as Twitter (registered trademark), facebook (registered trademark), YouTube (registered trademark), etc. to disseminate their own information. It has become.

Here, among the above-mentioned various media, viewing of video content (UGC) created by a user is widely used, and for example, a demand transition pattern and popularity of YouTube (registered trademark) are analyzed. ..

Further, Patent Document 1 discloses a technique relating to a simple time-series model representing a transition of the number of viewers of user-generated content. According to this technique, it is possible to reproduce the demand distribution of user-generated content, and as a result, video content (UGC) such as capacity design of a cache server that distributes user-generated content represented by YouTube (registered trademark). It is possible to generate input data for various designs and controls that require the distribution of the number of viewers over a period of time.

Japanese Unexamined Patent Publication No. 2017-45120

Conventionally, for user-generated content distributed via a network, various demand forecasts have been performed to predict the demand from browsing users who browse the content. Then, it is important for the posting user who posts the content to meet the demand from the browsing user in order to effectively transmit his / her own information. Here, in order to generate highly topical content, it is conceivable to refer to the diffused content that is associated with the content that the user is trying to generate and has already been widely spread to the browsing users. ..

However, according to the prior art, it takes a lot of time for the posting user to search for the diffusion content that can be used as a reference for generating his / her own content. And there is still room for improvement in the technology for efficiently generating highly topical content in a short time.

An object of the present disclosure is to provide a technique capable of efficiently extracting and browsing user-generated content having high topicality in a short time.

The information processing device of the present disclosure is an information processing device that extracts user-generated content distributed via a network. Then, this information processing apparatus acquires the survey target content which is the user-generated content associated with the predetermined word from the user-generated content being distributed, and each content included in the survey target content. The topicality of the user-generated content is expressed based on the acquired number of views and the number of subscribers to the channel, and the number of views and the number of subscribers to the channel for each content included in the surveyed content. It is determined that the predetermined topic level is calculated and whether or not the calculated topic level is higher than the predetermined threshold value for each content included in the survey target content, and the topic level is higher than the threshold value. It is provided with a control unit for extracting and executing the determined user-generated content.

The disclosed person first displays the posted content on the top screen of the subscriber, and the longer a large number of subscribers browse the content, the more the top screen of a user similar to the subscriber. It was found that the content is displayed in the above, and the content is diffused by repeating this. Therefore, paying attention to the fact that the content with high topicality has a larger number of playbacks than the number of subscribers of the content, the control unit of the information processing device has a topic of the content based on the number of playbacks and the number of subscribers. Calculate the degree. Here, the control unit may calculate the topic level by dividing the number of reproductions by the number of subscribers to the channel. According to this, the user relatively considers the content whose number of views is more than a certain number of subscribers (for example, the content whose number of views is three times or more the number of subscribers) as highly topical content. Since it can be easily extracted, it is relatively easy for posting users to find diffused content that can be used as a reference for generating their own content. Further, the control unit may calculate the topic level for the content to be investigated that satisfies the predetermined conditions regarding the number of playbacks and the number of subscribers to the channel, and further, the content. The topic level may be calculated in consideration of the time since the posting. The content that is spread out of the subscribers in a short time after being posted is spread to more users, that is, the topicality becomes higher. Therefore, the control unit can better calculate the topicality of the content by considering the time after the content is posted.

Further, the present disclosure can be grasped from the aspect of the information processing method by the computer. That is, the information processing method of the present disclosure is an information processing method for extracting user-generated content distributed via a network, and the computer is associated with a predetermined word from the user-generated content being distributed. Acquiring the survey target content which is the user-generated content, acquiring the number of views and the number of subscribers for each content included in the survey target content, and each content included in the survey target content. Based on the acquired number of playbacks and the number of subscribers to the channel, a predetermined topic level representing the topicality of the user-generated content is calculated, and the calculated topic for each content included in the survey target content. It is determined whether or not the degree is higher than a predetermined threshold, and the user-generated content for which the topic degree is determined to be higher than the threshold is extracted.

In addition, this disclosure can be understood from the aspect of the information processing program. That is, the information processing program of the present disclosure is an information processing program that extracts user-generated content distributed via a network, and is associated with a predetermined word from the user-generated content being distributed to a computer. Acquiring the survey target content which is the user-generated content, acquiring the number of views and the number of subscribers for each content included in the survey target content, and each content included in the survey target content. Based on the acquired number of playbacks and the number of subscribers to the channel, a predetermined topic level representing the topicality of the user-generated content is calculated, and the calculated topic for each content included in the survey target content. It is determined whether or not the degree is higher than a predetermined threshold, and the user-generated content for which the topic degree is determined to be higher than the threshold is extracted and executed.

According to the present disclosure, user-generated content with high topicality can be efficiently extracted and browsed in a short time.

It is a figure which shows the schematic structure of the information processing system in 1st Embodiment. It is a figure which showed the component of the server included in the information processing system in 1st Embodiment in more detail, and also showed the component of the user terminal which communicates with a server. It is a figure which illustrates the flow of operation of the information processing system in 1st Embodiment. It is a figure for demonstrating the user interface provided to the user who investigates the content with high topicality.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The configurations of the following embodiments are exemplary and the present disclosure is not limited to the configurations of the embodiments.

<First Embodiment>
The outline of the information processing system according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram showing a schematic configuration of an information processing system according to the present embodiment. The information processing system 100 according to the present embodiment includes a network 200, a server 300, and a user terminal 400. The user who uses the information processing system 100 in the present embodiment can view the posting user who posts the video content (UGC) to YouTube (registered trademark) and the video content (UGC) posted to YouTube (registered trademark). Browsing user.

The network 200 is, for example, an IP network. If the network 200 is an IP network, it may be wireless, wired, or a combination of wireless and wired. For example, in the case of wireless communication, the user terminal 400 may be a wireless LAN access point ( (Not shown) may be accessed to communicate with the server 300 via a LAN or WAN. Further, the network 200 is not limited to these examples, and may be, for example, a public switched telephone network, an optical line, an ADSL line, a satellite communication network, or the like.

The server 300 is connected to the user terminal 400 via the network 200. In FIG. 1, for the sake of simplicity, three servers 300 and two user terminals 400 are shown, but it goes without saying that there may be less than this or more.

The server 300 may be any electronic device as long as it is a computer device having processing capability for arithmetic processing such as data acquisition, generation, and update, and processing processing, for example, a personal computer, a server, a mainframe, or other electronic device. It may be a device. That is, the server 300 can be configured as a computer having a processor such as a CPU or GPU, a main storage device such as RAM or ROM, and an auxiliary storage device such as EPROM, a hard disk drive, or removable media. The removable medium may be, for example, a USB memory or a disc recording medium such as a CD or DVD. The auxiliary storage device stores an operating system (OS), various programs, various tables, and the like.

Further, the server 300 does not provide software, hardware, an OS, or the like dedicated to the information processing system 100 according to the present embodiment, and uses a cloud server for SaaS (Software as a Service), Paas (Platform as a Service), and IaaS (Platform as a Service). Infrastructure as a Service) may be used as appropriate.

The user terminal 400 may be any electronic device such as a mobile terminal owned by a user who uses the information processing system 100, and may be, for example, a mobile terminal, a tablet terminal, a smartphone, a wearable terminal, a personal computer, or other terminal device. May be good.

Next, the components of the server 300 will be mainly described in detail with reference to FIG. FIG. 2 is a diagram showing in more detail the components of the server 300 included in the information processing system 100 and the components of the user terminal 400 that communicates with the server 300 in the first embodiment.

The server 300 has a communication unit 301, a storage unit 302, and a control unit 303 as functional units, loads a program stored in the auxiliary storage device into a work area of the main storage device, executes the program, and executes the program. By controlling each functional unit or the like, it is possible to realize each function that meets a predetermined purpose in each functional unit. However, some or all of the functions may be realized by hardware circuits such as ASICs and FPGAs.

Here, the communication unit 301 is a communication interface for connecting the server 300 to the network 200. The communication unit 301 includes, for example, a network interface board and a wireless communication circuit for wireless communication. The server 300 is communicably connected to the user terminal 400 and other external devices via the communication unit 301.

The storage unit 302 includes a main storage device and an auxiliary storage device. The main storage device is a memory in which a program executed by the control unit 303 and data used by the control program are expanded. The auxiliary storage device is a device that stores a program executed by the control unit 303 and data used by the control program. Further, the storage unit 302 stores the data transmitted from the user terminal 400 or the like. The server 300 acquires the data transmitted from the user terminal 400 or the like via the communication unit 301.

The control unit 303 is a functional unit that controls the control performed by the server 300. The control unit 303 can be realized by an arithmetic processing unit such as a CPU. The control unit 303 is further composed of four functional units of an acquisition unit 3031, a calculation unit 3032, a determination unit 3033, and an extraction unit 3034. Each functional unit may be realized by executing the stored program by the CPU.

The acquisition unit 3031 acquires the survey target content, which is the user-generated content associated with the predetermined word, from the user-generated content distributed via the network 200. Here, the user of the information processing system 100 can transmit the above words to the server 300 via the user terminal 400. Then, the server 300 acquires the content to be investigated from the external device in which the content being distributed is stored based on the above word acquired by communication.

Here, the user terminal 400 in the present embodiment has a communication unit 401, an input / output unit 402, and a storage unit 403 as functional units. The communication unit 401 is a communication interface for connecting the user terminal 400 to the network 200, and includes, for example, a network interface board and a wireless communication circuit for wireless communication. The input / output unit 402 is a functional unit for displaying information or the like transmitted from the outside via the communication unit 401, or inputting the information when transmitting information to the outside via the communication unit 401. Is. The storage unit 403 includes a main storage device and an auxiliary storage device, similarly to the storage unit 302 of the server 300.

The input / output unit 402 further includes a display unit 4021 and an operation input unit 4022. The display unit 4021 has a function of displaying various information, and is realized by, for example, an LCD (Liquid Crystal Display) display, an LED (Light Emitting Diode) display, an OLED (Organic Light Emitting Diode) display, or the like. The operation input unit 4022 has a function of receiving an operation input from a user, and is specifically realized by a soft key or a hard key such as a touch panel.

The user of the information processing system 100 can transmit the above words to the server 300 by using the user terminal 400 configured in this way. The above words are arbitrary words such as "cake" and "bike race". Then, the acquisition unit 3031 acquires what is included in the title of the content or is presumed to be included in the content of the content as the content to be investigated. For the above estimation, a well-known search technique (prediction by AI, etc.) used in Internet search can be used.

Further, the acquisition unit 3031 acquires the number of playbacks and the number of channel subscribers for each content included in the survey target content. Then, the acquisition unit 3031 stores these in the storage unit 302 of the server 300. In addition, the acquisition unit 3031 uses, for example, the YouTube (registered trademark) Data API that acquires various data of YouTube (registered trademark) provided by Google (registered trademark), and the URL of the above-mentioned content to be investigated and each content. You can get the number of views and the number of subscribers.

Then, the calculation unit 3032 of the control unit 303 of the server 300 calculates the topic level of the content for each content included in the survey target content based on the number of playbacks and the number of channel subscribers.

Here, the topic level is a parameter representing the topicality of user-generated content, and is defined by dividing the number of playbacks by the number of subscribers. The disclosed person first displays the posted content on the top screen of the subscriber, and the longer a large number of subscribers browse the content, the more the top screen of a user similar to the subscriber. It was found that the content is displayed in the above, and the content is diffused by repeating this. That is, the topicality is defined as described above, paying attention to the fact that the content with high topicality has a larger number of playbacks than the number of subscribers to the channel of the content.

In addition, the calculation unit 3032 may calculate the topic level for the content to be surveyed that satisfies the predetermined conditions regarding the number of views and the number of subscribers, and further, the content is posted to these. The topic level may be calculated in consideration of the time from. Since it was found that the content spread to outside the subscribers in a short time after being posted, it will be spread to more users, that is, the topicality will be higher, so the calculation unit 3032 posted the content. By considering the time since the content was created, the topicality of the content can be calculated better.

Then, the determination unit 3033 included in the control unit 303 of the server 300 determines whether or not the calculated topic level is higher than a predetermined threshold value for each content included in the survey target content. Then, the extraction unit 3034 extracts the user-generated content for which the topic level is determined to be higher than the threshold value.

The control unit 303 functions as the control unit according to the present disclosure by executing the processes of the acquisition unit 3031, the calculation unit 3032, the determination unit 3033, and the extraction unit 3034.

Here, the operation flow of the information processing system 100 in the present embodiment will be described. FIG. 3 is a diagram illustrating an operation flow of the information processing system 100 in the present embodiment. FIG. 3 describes a flow of operations between each component in the information processing system 100 according to the present embodiment, and a process executed by each component.

In the present embodiment, first, the search target word is acquired by the user terminal 400 (S101). When the user of the information processing system 100 inputs a word related to the content to be acquired as the investigation target into the user terminal 400, the investigation target word is acquired. At this time, the user can input the above-mentioned survey target word via the user interface provided by the server 300 or provided by a predetermined application pre-installed in the user terminal 400. FIG. 4 is a diagram for explaining a user interface provided to a user who investigates highly topical contents. The screen SC1 illustrated in FIG. 4 is a screen for the user to input a search target word and search conditions, and is displayed on the display unit 4021 of the user terminal 400 owned by the user. On the screen SC1, the input field SC11 of the search target word, the input field SC12 of the search condition, the input field SC13 of the number of video acquisitions, the input field SC14 of the date, the input field SC15 of the number of subscribers, and the input field SC16 of the number of playbacks. Is shown. In the present embodiment, in addition to the input of the survey target word, the threshold value (search condition in FIG. 4) used for determining the topic level, the number of contents to be acquired, the date, the number of subscribers, and the condition of the number of playbacks are input. be able to. The user terminal 400 transmits these information to the server 300 (S102). The example shown in FIG. 4 is content related to "cake", which was posted on or after January 1, 2020, has a number of subscribers of 5,000 or more, a number of views of 10,000 or more, and a number of views / channel. This is an input for acquiring 100 contents having 3 or more registrants. Further, the screen SC1 of such a user interface may be provided with an input field for inputting a condition other than the above. For example, in addition to the above, the screen SC1 may be provided with an input field for inputting the condition of the average number of playbacks per day.

Upon receiving the information from the user terminal 400, the server 300 acquires the survey target content associated with the survey target word input by the user from the user-generated content distributed via the network 200 (S103). .. Then, the server 300 acquires the number of playbacks and the number of channel subscribers for each content included in the survey target content (S104). Here, as described above, the server 300 uses, for example, the YouTube (registered trademark) Data API that acquires various data of YouTube (registered trademark) provided by Google (registered trademark), and the URL of the content to be investigated or the like. , The number of views of each content and the number of subscribers can be acquired. Then, the server 300 stores these in the storage unit 302.

Further, the server 300 calculates the topic level defined by dividing the number of playbacks by the number of channel subscribers for each content included in the surveyed content (S105). Then, it is determined whether or not the calculated topic level is higher than the threshold value (S106). In the present embodiment, this threshold value is input by the user to the input field SC12 of the search condition shown in FIG. 4, for example, when the number of playbacks / the number of subscribers is 3 or more, the topic level is higher than the threshold value. Is also judged to be high content. Further, the server 300 extracts the user-generated content determined to have a topic level higher than the threshold value (S107). Then, the server 300 transmits the information regarding the extracted content to the user terminal 400 (S108).

The user terminal 400 acquires the content information transmitted from the server 300 (S109). Then, the user can browse and analyze them via the user terminal 400. Here, it is important for the posting user to meet the demand from the browsing user in order to effectively transmit his / her own information. Then, in order to generate highly topical content, it is conceivable to refer to the spread content that is associated with the content that the user is trying to generate and has already been widely spread to the browsing user. According to the above process, it is relatively easy to make content whose number of views is more than a certain number of subscribers (for example, content whose number of views is three times or more the number of subscribers) as highly topical content. Because it can be extracted to, it is relatively easy for posting users to find diffused content that can be used as a reference for generating their own content.

According to the information processing system 100 described above, user-generated content with high topicality can be efficiently extracted and browsed in a short time.

<Second Embodiment>
The information processing system according to the second embodiment will be described below. The server 300 in the present embodiment further sets as rapidly rising content content in which the ratio of the number of playbacks per day to the average number of playbacks in the first predetermined period is equal to or higher than a predetermined threshold among the user-generated contents being distributed. Extract.

Here, the first predetermined period is, for example, the past 10 days. The server 300 uses, for example, the YouTube (registered trademark) Data API that acquires various data of YouTube (registered trademark) provided by Google (registered trademark), and acquires the number of times of playback of the content being distributed daily. At the same time, these are stored in the storage unit 302. For example, if the total number of playbacks for a certain content is 1000 in the past 10 days, the average number of playbacks in the first predetermined period is 100. When such content records, for example, 200 times or more as the number of playbacks per day, the server 300 further extracts the content as soaring content. At this time, the ratio of the number of reproductions per day (200 times) and the average number of reproductions (100 times) in the first predetermined period is 2.0, and when the above threshold value is 1.5, the ratio is Since it exceeds the threshold value, it is extracted as soaring content. The first predetermined period and the threshold value can be set in advance via the user interface, for example, as in the first embodiment described above. Further, the server 300 transmits information about the extracted contents to the user terminal 400 as in the first embodiment described above.

According to this, the user can quickly search for the content whose playback count has skyrocketed, and can grasp the timing when the playback count of the content posted by himself / herself has skyrocketed. As a result, users can efficiently extract and browse highly topical user-generated content in a short time, and post new content at the timing when the number of views of the content posted by themselves soars. Can be done.

<Third Embodiment>
The information processing system according to the third embodiment will be described below. According to the first embodiment described above, the acquisition unit 3031 included in the control unit 303 of the server 300 is user-generated content associated with a predetermined word from the user-generated content distributed via the network 200. Acquire the content to be investigated. Here, if the total number of views, which is the sum of the number of views of each content included in the surveyed content, is divided by the number of contents included in the surveyed content, and the average number of views is relatively small, the posting user Even if one's own content is generated with reference to a certain content included in the surveyed content, it tends to be difficult to generate highly topical content. This is because the number of users who search for and browse words related to such surveyed content is small in the first place.

Therefore, in the information processing system according to the present embodiment, when the above word is input via the user terminal 400, the acquisition unit 3031 stores the content being distributed based on the word acquired by communication. The content to be surveyed is acquired from the external device, the average number of playbacks of the content to be surveyed is calculated, and the calculated average number of playbacks is transmitted to the user terminal 400. Then, the user can grasp in advance the interest and interest of the browsing user about the word input by the user terminal 400 (the market volume of the word input by the user terminal 400). Then, if it is determined that the average number of playbacks is small, the user can input a word different from the above into the user terminal 400 again and re-acquire the survey target content by the acquisition unit 3031. Then, the user re-evaluates the average number of times of reproduction in the re-acquired survey target content. By repeating this, the user can investigate words that are of high interest to the browsing user (words with a large market volume).

Then, the survey target content associated with the word of interest and interest of the browsing user, which is surveyed in this way, is acquired, and the calculation unit 3032 of the control unit 303 of the server 300 is included in the survey target content. For each content, the topic level of the content is calculated based on the number of views and the number of subscribers. According to this, it is possible to more preferably and efficiently extract and browse user-generated content having high topicality in a short time.

<Other variants>
The above embodiment is merely an example, and the present disclosure may be appropriately modified and implemented without departing from the gist thereof. For example, the processes and means described in the present disclosure can be freely combined and carried out as long as there is no technical contradiction.

In order to effectively disseminate their information, posting users search for diffused content that can be used to generate their own content, analyze the demand of browsing users from there, and subscribe to their own channels. It is also important to analyze the content that contributed to the increase in numbers. In the past, it was difficult to know which content in your channel contributed to the increase in the number of subscribers. Therefore, the server 300 may calculate the channel contribution degree to each content based on the posting timing of the content in the channel and the time-dependent transition of the number of subscribers to the channel. According to this, for each content in its own channel, it is possible to grasp the channel contribution degree indicating the contribution degree to the increase in the number of subscribers after the content is posted, and the posting user can grasp his / her own channel contribution degree. It will be possible to analyze the content that has contributed to the increase in the number of subscribers.

Further, the server 300 may determine the momentum of the newly posted content. Specifically, the server 300 has been posted in the same channel as the posted content and the number of times of playback in the second predetermined period after posting in the newly posted posted content from the user-generated content being delivered. Content in which the ratio of the average number of playbacks in the second predetermined period after being posted in the plurality of contents is equal to or higher than a predetermined threshold may be further extracted as momentum content. Here, the second predetermined period is, for example, 6 hours. The server 300 uses, for example, the YouTube (registered trademark) Data API that acquires various data of YouTube (registered trademark) provided by Google (registered trademark), and the number of times of reproduction in the second predetermined period after being posted in the posted content. Are acquired and these are stored in the storage unit 302. For example, the number of views for 6 hours after posting a certain content is 500, and the number of views for 10 contents posted in the past in the same channel as the content is 6 hours after they are posted. When the average number of reproductions is 250, the above ratio is 2.0. Then, for example, when the above threshold value is 1.5, the ratio becomes equal to or higher than the threshold value, so that the content is extracted as momentum content. The second predetermined period and the threshold value can be set in advance via the user interface, for example, as in the first embodiment described above. Further, the server 300 transmits information about the extracted contents to the user terminal 400 as in the first embodiment described above. As a result, the user can confirm the content whose momentum has been determined.

Further, in YouTube (registered trademark), it is preferable to standardize the tags in order to display them in relation to the video content (UGC) that has already been posted. However, until now, it has been troublesome to acquire the posted UGC tag. Therefore, when the URL of UGC is input via the user terminal 400, the server 300 may access the UGC, acquire a tag, and transmit it to the user terminal 400.

Further, when the translation language of UGC is input via the user terminal 400, the server 300 may access the UGC and execute a process of translating a title, subtitles, or the like.

Further, the processing described as being performed by one device may be shared and executed by a plurality of devices. For example, the acquisition unit 3031 may be formed in an arithmetic processing device different from the server 300. At this time, the other arithmetic processing device is configured to be suitably able to cooperate with the server 300. Further, the processing described as being performed by different devices may be executed by one device. In a computer system, it is possible to flexibly change what kind of hardware configuration (server configuration) is used to realize each function.

The present disclosure can also be realized by supplying a computer program having the functions described in the above embodiment to the computer, and reading and executing the program by one or more processors possessed by the computer. Such a computer program may be provided to the computer by a non-temporary computer-readable storage medium that can be connected to the computer's system bus, or may be provided to the computer via a network. Non-temporary computer-readable storage media include, for example, any type of disc such as a magnetic disc (floppy (registered trademark) disc, hard disk drive (HDD), etc.), optical disc (CD-ROM, DVD disc, Blu-ray disc, etc.). Includes read-only memory (ROM), random access memory (RAM), EPROM, EEPROM, magnetic cards, flash memory, optical cards, and any type of medium suitable for storing electronic instructions.

100 ... Information processing system 200 ... Network 300 ... Server 301 ... Communication unit 302 ... Storage unit 303 ... Control unit 400 ... User terminal

Claims (7)

An information processing device that extracts user-generated content distributed via a network.
Acquiring the survey target content, which is the user-generated content associated with a predetermined word, from the user-generated content being delivered,
Obtaining the number of views and the number of subscribers for each content included in the surveyed content,
For each content included in the survey target content, a predetermined topic level representing the topicality of the user-generated content is calculated based on the acquired number of plays and the number of subscribers to the channel.
For each content included in the survey target content, it is determined whether or not the calculated topic level is higher than a predetermined threshold value, and the user-generated content determined to have the topic level higher than the threshold value is extracted. That and
An information processing device provided with a control unit for executing the above. The control unit
The topic level is calculated by dividing the number of playbacks by the number of subscribers to the channel.
The information processing apparatus according to claim 1. The control unit
Among the surveyed contents, the topic level is calculated for the contents satisfying the predetermined conditions regarding the number of playbacks and the number of subscribers to the channel.
The information processing apparatus according to claim 1 or 2. The control unit
From the user-generated content being delivered, content in which the ratio of the number of playbacks per day to the average number of playbacks in the first predetermined period is equal to or higher than a predetermined threshold value is further extracted as rapidly rising content.
The information processing apparatus according to any one of claims 1 to 3. The control unit
From the user-generated content being delivered, the number of views in the second predetermined period after posting in the newly posted posted content, and posting in multiple contents posted in the past in the same channel as the posted content. Content whose ratio to the average number of playbacks in the second predetermined period is equal to or greater than a predetermined threshold is further extracted as momentum content.
The information processing apparatus according to any one of claims 1 to 4. It is an information processing method that extracts user-generated content delivered via a network.
The computer
Acquiring the survey target content, which is the user-generated content associated with a predetermined word, from the user-generated content being delivered,
Obtaining the number of views and the number of subscribers for each content included in the surveyed content,
For each content included in the survey target content, a predetermined topic level representing the topicality of the user-generated content is calculated based on the acquired number of plays and the number of subscribers to the channel.
For each content included in the survey target content, it is determined whether or not the calculated topic level is higher than a predetermined threshold value, and the user-generated content determined to have the topic level higher than the threshold value is extracted. That and
Information processing method to execute. An information processing program that extracts user-generated content delivered via a network.
On the computer
Acquiring the survey target content, which is the user-generated content associated with a predetermined word, from the user-generated content being delivered,
Obtaining the number of views and the number of subscribers for each content included in the surveyed content,
For each content included in the survey target content, a predetermined topic level representing the topicality of the user-generated content is calculated based on the acquired number of plays and the number of subscribers to the channel.
For each content included in the survey target content, it is determined whether or not the calculated topic level is higher than a predetermined threshold value, and the user-generated content determined to have the topic level higher than the threshold value is extracted. That and
Information processing program to execute.

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