JP7478442B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program that extract user-generated content distributed over a network.

In recent years, Internet users have begun to use a variety of media to disseminate their information, including blogs and social networking services (SNS) such as Twitter (registered trademark), Facebook (registered trademark), and YouTube (registered trademark).

Among the various media mentioned above, the viewing of user-generated video content (UGC) has become widespread, and for example, the trend patterns of demand and popularity of YouTube (registered trademark) are being analyzed.

Patent Document 1 discloses a technology related to a simple time series model that represents the transition of the number of views of user-generated content. This technology makes it possible to reproduce the distribution of demand for user-generated content, and as a result, it is possible to generate input data for various designs and controls that require the distribution of the number of views of video content (UGC) over a certain period of time, such as the capacity design of a cache server that distributes user-generated content such as YouTube (registered trademark).

JP 2017-45120 A

Conventionally, various demand forecasts have been carried out to predict the demand from viewing users who view user-generated content distributed over a network. For a posting user who posts content, it is important to meet the demand from viewing users in order to effectively disseminate information about himself/herself. Here, in order to generate content that is highly topical, it is conceivable to refer to diffused content that is associated with the content that the posting user is trying to generate and that has already been widely diffused among viewing users.

However, with conventional technology, it takes a lot of time for posters to search for viral content that can serve as reference for generating their own content. And there is still room for improvement in technology for efficiently generating topical content in a short amount of time.

The objective of this disclosure is to provide technology that can extract and view popular user-generated content efficiently and in a short amount of time.

The information processing device disclosed herein is an information processing device that extracts user-generated content distributed via a network. The information processing device includes a control unit that executes the following: acquiring survey target content, which is the user-generated content associated with a predetermined word, from the user-generated content being distributed; acquiring the number of plays and the number of channel subscribers for each piece of content included in the survey target content; calculating a predetermined topicality that represents the topicality of the user-generated content based on the acquired number of plays and the number of channel subscribers for each piece of content included in the survey target content; determining whether the calculated topicality is higher than a predetermined threshold for each piece of content included in the survey target content, and extracting the user-generated content whose topicality is determined to be higher than the threshold.

The present disclosure found that the posted content is first displayed on the top screen of the channel subscriber, and the longer a large number of channel subscribers view the content, the more the content is displayed on the top screen of users similar to the channel subscriber, and this is repeated, leading to the spread of the content. Therefore, focusing on the fact that content with high topicality has a greater number of plays than the number of channel subscribers of the content, the control unit of the information processing device calculates the topicality of the content based on the number of plays and the number of channel subscribers. Here, the control unit may calculate the topicality by dividing the number of plays by the number of channel subscribers. According to this, a user can relatively easily extract content whose number of plays is greater than the number of channel subscribers by a certain amount (for example, content whose number of plays is three times or more the number of channel subscribers) as content with high topicality, so that the posting user can relatively easily find spread content that is useful for generating his or her own content. In addition, the control unit may calculate the topicality of content that satisfies a predetermined condition regarding the number of plays and the number of channel subscribers among the surveyed contents, and may further calculate the topicality by taking into account the time since the content was posted. The sooner a piece of content is posted and spread outside of channel subscribers, the more users it spreads to, meaning the more topical it becomes. Therefore, the control unit can more accurately calculate the topical nature of content by taking into account the time since the content was posted.

The present disclosure can also be understood from the aspect of an information processing method by a computer. That is, the information processing method of the present disclosure is an information processing method for extracting user-generated content distributed over a network, in which a computer executes the following operations: acquiring survey target content, which is the user-generated content associated with a predetermined word, from the user-generated content being distributed; acquiring the number of plays and the number of channel subscribers for each piece of content included in the survey target content; calculating a predetermined topicality representing the topicality of the user-generated content based on the acquired number of plays and the number of channel subscribers for each piece of content included in the survey target content; determining whether the calculated topicality is higher than a predetermined threshold for each piece of content included in the survey target content, and extracting the user-generated content whose topicality is determined to be higher than the threshold.

The present disclosure can also be understood from the aspect of an information processing program. That is, the information processing program of the present disclosure is an information processing program that extracts user-generated content distributed over a network, and causes a computer to execute the following: acquiring survey target content, which is the user-generated content associated with a predetermined word, from the user-generated content being distributed; acquiring the number of plays and the number of channel subscribers for each piece of content included in the survey target content; calculating a predetermined topicality representing the topicality of the user-generated content based on the acquired number of plays and the number of channel subscribers for each piece of content included in the survey target content; determining whether the calculated topicality is higher than a predetermined threshold for each piece of content included in the survey target content, and extracting the user-generated content whose topicality is determined to be higher than the threshold.

According to the present disclosure, it is possible to efficiently extract and view popular user-generated content in a short amount of time.

1 is a diagram showing a schematic configuration of an information processing system according to a first embodiment. 2 is a diagram showing components of a server included in the information processing system in the first embodiment in more detail, and also showing components of a user terminal that communicates with the server. FIG. FIG. 2 is a diagram illustrating an example of an operation flow of the information processing system according to the first embodiment. FIG. 13 is a diagram for explaining a user interface provided to a user who is researching highly topical content.

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

First Embodiment
An overview of the information processing system in the first embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing a schematic configuration of the information processing system in 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. Note that users who use the information processing system 100 in the present embodiment are posting users who post video content (UGC) on YouTube (registered trademark) and viewing users who view video content (UGC) posted on YouTube (registered trademark).

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 access a wireless LAN access point (not shown) and communicate with the server 300 via a LAN or WAN. Furthermore, the network 200 is not limited to these examples, and may be, for example, a public switched telephone network, an optical fiber line, an ADSL line, a satellite communication network, etc.

The server 300 is connected to the user terminal 400 via the network 200. Note that 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 more or fewer of them.

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

In addition, the server 300 may use SaaS (Software as a Service), Paas (Platform as a Service), or IaaS (Infrastructure as a Service) provided by a cloud server as appropriate, without providing software, hardware, an OS, or the like dedicated to the information processing system 100 according to this embodiment.

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.

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

The server 300 has a communication unit 301, a memory unit 302, and a control unit 303 as functional units, and loads a program stored in the auxiliary storage device into the working area of the main storage device and executes it. Each functional unit is controlled through the execution of the program, thereby realizing each function that matches the specified purpose of 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 is configured to include, for example, a network interface board and a wireless communication circuit for wireless communication. The server 300 is connected to the user terminal 400 and other external devices via the communication unit 301 so as to be able to communicate with them.

The storage unit 302 is configured to include a main storage device and an auxiliary storage device. The main storage device is a memory in which the programs executed by the control unit 303 and the data used by the control programs are expanded. The auxiliary storage device is a device in which the programs executed by the control unit 303 and the data used by the control programs are stored. The storage unit 302 also stores data transmitted from the user terminal 400, etc. The server 300 acquires data transmitted from the user terminal 400, etc. via the communication unit 301.

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

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

Here, the user terminal 400 in this 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 is configured to include, 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 transmitted from the outside via the communication unit 401, and for inputting information when transmitting the information to the outside via the communication unit 401. The storage unit 403 is configured to include a main storage device and an auxiliary storage device, similar 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, for example, by 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 accepting operation input from the user, and is realized, specifically, by soft keys or hard keys on a touch panel or the like.

A user of the information processing system 100 can use the user terminal 400 configured in this way to send the above words to the server 300. The above words can be any words, such as "cake" or "bike racing". The acquisition unit 3031 then acquires, as the content to be investigated, those contents in which these words are included in the title or which are presumed to be included in the content. The above presumption can be made using well-known search techniques (such as AI predictions) used in Internet searches.

Furthermore, the acquisition unit 3031 acquires the number of plays and the number of channel subscribers for each piece of content included in the survey target content. The acquisition unit 3031 then stores these in the storage unit 302 of the server 300. Note that the acquisition unit 3031 can acquire the URL of the survey target content, the number of plays of each piece of content, and the number of channel subscribers, for example, using a YouTube (registered trademark) Data API that acquires various data from YouTube (registered trademark) provided by Google (registered trademark).

Then, the calculation unit 3032 of the control unit 303 of the server 300 calculates the topicality of each piece of content included in the surveyed content based on the number of plays and the number of channel subscribers.

Here, topicality is a parameter that indicates the topicality of user-generated content, and is defined by dividing the number of views by the number of channel subscribers. The present inventors have discovered that posted content is first displayed on the homepage of channel subscribers, and the longer a large number of channel subscribers view the content, the more the content is displayed on the homepage of users similar to the channel subscribers, and this is repeated, leading to the spread of the content. In other words, focusing on the fact that content with high topicality has a greater number of views than the number of channel subscribers of the content, topicality is defined as above.

The calculation unit 3032 may calculate the topicality of content among the surveyed contents that meets predetermined conditions related to the number of plays and the number of channel subscribers, and may further calculate the topicality by taking into account the time since the content was posted. It has been found that the shorter the time since the content is posted, the more the content is spread outside the channel subscribers, i.e., the more topical it becomes. Therefore, by having the calculation unit 3032 take into account the time since the content was posted, the topicality of the content can be calculated more accurately.

Then, the determination unit 3033 of the control unit 303 of the server 300 determines whether the calculated topicality of each piece of content included in the survey target content is higher than a predetermined threshold. The extraction unit 3034 then extracts the user-generated content whose topicality is determined to be higher than the threshold.

The control unit 303 executes the processes of the acquisition unit 3031, calculation unit 3032, determination unit 3033, and extraction unit 3034, thereby functioning as a control unit according to the present disclosure.

Here, the flow of operations of the information processing system 100 in this embodiment will be described. FIG. 3 is a diagram illustrating the flow of operations of the information processing system 100 in this embodiment. FIG. 3 describes the flow of operations between the components of the information processing system 100 in this embodiment, and the processing executed by each component.

In this embodiment, first, the user terminal 400 acquires the survey target words (S101). The user of the information processing system 100 inputs words related to the content to be acquired as the survey target into the user terminal 400, thereby acquiring the survey target words. At this time, the user can input the survey target words through a user interface provided by the server 300 or 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 is researching a highly topical content. The screen SC1 illustrated in FIG. 4 is a screen for the user to input the survey target words and search conditions, and is displayed on the display unit 4021 of the user terminal 400 owned by the user. The screen SC1 shows an input field SC11 for the survey target words, an input field SC12 for the search conditions, an input field SC13 for the number of video acquisitions, an input field SC14 for the date, an input field SC15 for the number of channel subscribers, and an input field SC16 for the number of plays. In this embodiment, in addition to inputting the word to be surveyed, the user can input the threshold value used to determine the topicality (search condition in FIG. 4), the number of contents to be acquired, the date, the number of channel subscribers, and the number of views. The user terminal 400 transmits this information to the server 300 (S102). The example shown in FIG. 4 is an input for acquiring 100 pieces of content related to "cake", which have been posted on or after January 1, 2020, have 5,000 or more channel subscribers, 10,000 or more views, and a number of views/channel subscribers of 3 or more. In addition, the screen SC1 of such a user interface may be provided with an input field for inputting conditions other than those described above. For example, the screen SC1 may be provided with an input field for inputting the condition of the average number of views per day in addition to the above.

The server 300, which has received the information from the user terminal 400, acquires the survey target content associated with the survey target word entered by the user from among the user-generated content distributed via the network 200 (S103). The server 300 then acquires the number of plays and the number of channel subscribers for each piece of content included in the survey target content (S104). Here, as described above, the server 300 can acquire the URL of the survey target content, the number of plays of each piece of content, and the number of channel subscribers using, for example, the YouTube (registered trademark) Data API that acquires various data from YouTube (registered trademark) provided by Google (registered trademark). The server 300 then stores these in the storage unit 302.

Furthermore, the server 300 calculates the topicality, defined by dividing the number of plays by the number of channel subscribers, for each piece of content included in the surveyed content (S105). Then, it is determined whether the calculated topicality is higher than a threshold (S106). In this embodiment, this threshold is input by the user into the search condition input field SC12 shown in FIG. 4 above, and for example, content with a number of plays/number of channel subscribers of 3 or more is determined to have a topicality higher than the threshold. Furthermore, the server 300 extracts user-generated content whose topicality is determined to be higher than the threshold (S107). Then, the server 300 transmits information about the extracted content to the user terminal 400 (S108).

The user terminal 400 acquires the content information transmitted from the server 300 (S109). The user can then view and analyze the information via the user terminal 400. Here, it is important for the posting user to respond to the demands of the viewing users in order to effectively transmit his/her own information. In order to generate content with high topicality, it is possible to refer to diffused content that is associated with the content the posting user is trying to generate and that has already been widely diffused among the viewing users. According to the above process, content with a certain number of plays greater than the number of channel subscribers (for example, content with a number of plays three times or more the number of channel subscribers) can be extracted relatively easily as content with high topicality, so that the posting user can relatively easily find diffused content that can serve as a reference for generating his/her own content.

The information processing system 100 described above allows for the efficient extraction and viewing of popular user-generated content in a short period of time.

Second Embodiment
The information processing system according to the second embodiment will be described below. The server 300 according to this embodiment further extracts, from among the user-generated content being distributed, content whose ratio of the number of plays in one day to the average number of plays in a first predetermined period is equal to or exceeds a predetermined threshold, as rapidly trending content.

Here, the first predetermined period is, for example, the past 10 days. The server 300 acquires the number of times that a content being distributed is played each day using, for example, the YouTube (registered trademark) Data API that acquires various data from YouTube (registered trademark) provided by Google (registered trademark), and stores the number of times that the content is played each day in the storage unit 302. For example, if the total number of times that a certain content is played in the past 10 days is 1000, the average number of times that the content is played in the first predetermined period is 100. If such a content is recorded, for example, as the number of times that the content is played in a day, 200 times or more, the server 300 further extracts the content as a rapidly rising content. At this time, the ratio of the number of times that the content is played in a day (200 times) to the average number of times that the content is played in the first predetermined period (100 times) is 2.0, and when the above threshold value is 1.5, the ratio is equal to or greater than the threshold value, so the content is extracted as a rapidly rising content. The first predetermined period and threshold value can be set in advance, for example, via a user interface, as in the first embodiment described above. Also, the server 300 transmits information about the extracted content to the user terminal 400, as in the first embodiment described above.

This allows users to quickly find content with a sudden increase in the number of views, and to understand the timing when the number of views of content that they posted suddenly increased. As a result, users can quickly and efficiently extract and view popular user-generated content, and can post new content when the number of views of content that they posted suddenly increases.

Third Embodiment
The information processing system in the third embodiment will be described below. According to the above-mentioned first embodiment, the acquisition unit 3031 of the control unit 303 of the server 300 acquires survey target content, which is user-generated content associated with a specific word, from user-generated content distributed via the network 200. Here, if the average number of plays, calculated by dividing the total number of plays of each content included in the survey target content by the number of contents included in the survey target content, is relatively small, it tends to be difficult to generate a highly topical content even if a posting user generates his/her own content by referring to a certain content included in the survey target content. This is because the number of users who search for and view words related to such survey target content is small in the first place.

In the information processing system according to this embodiment, when the above word is input via the user terminal 400, the acquisition unit 3031 acquires the survey target content from an external device in which the content being distributed is stored based on the word acquired by communication, calculates the above average number of plays for the survey target content, and transmits the calculated average number of plays to the user terminal 400. This allows the user to grasp in advance the interest and concern of the viewing user for the word that the user input to the user terminal 400 (the market volume for the word that the user input to the user terminal 400). If the user determines that the average number of plays is low, the user can input a different word to the user terminal 400 again and redo the acquisition of the survey target content by the acquisition unit 3031. The user then re-evaluates the average number of plays for the re-acquired survey target content. By repeating this process, the user can investigate words that are of high interest and concern to the viewing user (words with a large market volume).

Then, the surveyed content associated with the words that interest the viewing user is obtained, and the calculation unit 3032 of the control unit 303 of the server 300 calculates the topicality of each piece of content included in the surveyed content based on the number of plays and the number of channel subscribers. This makes it possible to more suitably extract and view user-generated content that is highly topical in a short amount of time and efficiently.

<Other Modifications>
The above embodiment is merely an example, and the present disclosure may be modified as appropriate without departing from the spirit and scope of the present disclosure. For example, the processes and means described in the present disclosure may be freely combined and implemented as long as no technical contradiction occurs.

In order for a posting user to effectively disseminate his/her own information, it is important for the posting user to search for diffusion content that can be used as a reference for generating his/her own content, and to analyze the demand of viewing users from there, as well as to analyze the content that contributed to the increase in the number of his/her channel subscribers. Until now, it has been difficult to know which content in one's own channel contributed to the increase in the number of channel subscribers. Therefore, the server 300 may calculate the channel contribution degree for each piece of content based on the timing of posting of the content in the channel and the hourly change in the number of channel subscribers. This allows the channel contribution degree, which indicates the contribution of each piece of content in one's own channel to the increase in the number of channel subscribers since the content was posted, to be known, and the posting user can analyze the content that contributed to the increase in the number of his/her channel subscribers.

The server 300 may also determine the momentum of the newly posted content. In detail, the server 300 may further extract, from among the user-generated content being distributed, content in which the ratio of the number of plays in a second predetermined period after the newly posted content is posted to the average number of plays in a second predetermined period after the posts of multiple contents posted in the past in the same channel as the posted content is equal to or greater than a predetermined threshold, as momentum content. Here, the second predetermined period is, for example, 6 hours. The server 300 acquires the number of plays in a second predetermined period after the posted content is posted, for example, using a YouTube (registered trademark) Data API provided by Google (registered trademark) for acquiring various data of YouTube (registered trademark), and stores these in the storage unit 302. For example, if the number of plays in 6 hours after a certain content is posted is 500, and the average number of plays obtained by averaging the number of plays in 6 hours after the posts of 10 contents posted in the past in the same channel as the content is 250, the above ratio is 2.0. For example, when the threshold value is 1.5, the ratio is equal to or greater than the threshold value, and the content is extracted as momentum content. Note that the second predetermined period and threshold value can be set in advance via a user interface, for example, as in the first embodiment described above. Also, the server 300 transmits information about the extracted content to the user terminal 400, as in the first embodiment described above. This allows the user to check the content that has been determined to be momentum.

In addition, on YouTube (registered trademark), it is preferable to standardize tags in order to display related video content (UGC) that has already been posted. However, in the past, it was time-consuming to obtain tags for posted UGC. Therefore, when the URL of UGC is input via user terminal 400, server 300 may access the UGC, obtain the tags, and transmit them to user terminal 400.

Furthermore, when a translation language for UGC is input via the user terminal 400, the server 300 may access the UGC and perform processing such as translating titles, subtitles, etc.

In addition, the processing described as being performed by one device may be shared and executed by multiple devices. For example, the acquisition unit 3031 may be formed in a processing device separate from the server 300. In this case, the separate processing device is configured to be able to cooperate favorably with the server 300. In addition, the processing described as being performed by different devices may be executed by one device. In a computer system, the hardware configuration (server configuration) by which each function is realized can be flexibly changed.

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

Reference Signs List 100: Information processing system 200: Network 300: Server 301: Communication unit 302: Storage unit 303: Control unit 400: User terminal

Claims (6)

An information processing device that extracts user-generated content distributed over a network, comprising:
Obtaining the number of plays and the number of channel subscribers for each piece of content included in the survey target content;
Calculating a predetermined topicality representing the topicality of the user-generated content for each content included in the survey target content based on the acquired number of plays and the acquired number of channel subscribers;
determining whether the calculated topicality of each piece of content included in the survey target content is higher than a predetermined threshold, and extracting the user-generated content whose topicality is determined to be higher than the threshold;
Run
a control unit that calculates the topicality of content that satisfies a predetermined condition related to the number of plays and the number of channel subscribers among the survey target contents ;
The control unit of the information processing device further extracts, from the user-generated content being distributed, content for which the ratio of the number of plays of newly posted content within a second specified period after posting to the average number of plays of multiple pieces of content previously posted on the same channel as the posted content within the second specified period after posting is equal to or greater than a specified threshold value as momentum content . The control unit is
The topicality is calculated by dividing the number of plays by the number of channel subscribers.
The information processing device according to claim 1 . An information processing device that extracts user-generated content distributed over a network, comprising:
Obtaining the number of plays and the number of channel subscribers for each piece of content included in the survey target content;
Calculating a predetermined topicality representing the topicality of the user-generated content for each content included in the survey target content based on the acquired number of plays and the acquired number of channel subscribers;
determining whether the calculated topicality of each piece of content included in the survey target content is higher than a predetermined threshold, and extracting the user-generated content whose topicality is determined to be higher than the threshold;
Run
a control unit that calculates the topicality of content that satisfies a predetermined condition related to the number of plays and the number of channel subscribers among the survey target contents;
The control unit is
Further extracting, from the user-generated content being distributed, content for which the ratio of the number of plays of newly posted content in a second predetermined period from the posting to the average number of plays of a plurality of contents previously posted in the same channel as the posted content in the second predetermined period from the posting is equal to or exceeds a predetermined threshold, as momentum content;
The information processing device further extracts, from the user-generated content being distributed, content for which the ratio of the number of plays in a day to the average number of plays per day in a first predetermined period is equal to or greater than a predetermined threshold, as rapidly trending content. An information processing device that extracts user-generated content distributed over a network, comprising:
Obtaining the number of plays and the number of channel subscribers for each piece of content included in the survey target content;
Calculating a predetermined topicality representing the topicality of the user-generated content for each content included in the survey target content based on the acquired number of plays and the acquired number of channel subscribers;
determining whether the calculated topicality of each piece of content included in the survey target content is higher than a predetermined threshold, and extracting the user-generated content whose topicality is determined to be higher than the threshold;
Run
a control unit that calculates the topicality of content that satisfies a predetermined condition related to the number of plays and the number of channel subscribers among the survey target contents;
The control unit is
Further extracting, from the user-generated content being distributed, content in which the ratio of the number of plays of a newly posted content in a second predetermined period from the posting to the average number of plays of a plurality of contents previously posted in the same channel as the posted content in the second predetermined period from the posting is equal to or exceeds a predetermined threshold, as momentum content;
Information processing device. 1. An information processing method for extracting user-generated content distributed over a network, comprising the steps of:
The computer
Calculating a predetermined topicality representing the topicality of each piece of content included in the survey target content based on the acquired number of plays and the number of channel subscribers;
determining whether the calculated topicality of each piece of content included in the survey target content is higher than a predetermined threshold, and extracting the user-generated content whose topicality is determined to be higher than the threshold;
Further extracting, from the user-generated content being distributed, content for which the ratio of the number of plays of newly posted content in a second predetermined period from the posting to the average number of plays of a plurality of contents previously posted in the same channel as the posted content in the second predetermined period from the posting is equal to or exceeds a predetermined threshold, as momentum content;
extracting, from the user-generated content being distributed, content whose ratio of the number of plays in a day to the average number of plays per day in a first predetermined period is equal to or greater than a predetermined threshold, as trending content;
Information processing methods. An information processing program for extracting user-generated content distributed over a network, comprising:
On the computer,
Obtaining the number of plays and the number of channel subscribers for each piece of content included in the survey target content;
Calculating a predetermined topicality representing the topicality of the user-generated content for each content included in the survey target content based on the acquired number of plays and the acquired number of channel subscribers;
determining whether the calculated topicality of each piece of content included in the survey target content is higher than a predetermined threshold, and extracting the user-generated content whose topicality is determined to be higher than the threshold;
Run the command,
Further extracting, from the user-generated content being distributed, content for which a ratio of the number of plays of newly posted content in a second predetermined period from the posting to an average number of plays of a plurality of contents previously posted in the same channel as the posted content in the second predetermined period from the posting is equal to or exceeds a predetermined threshold, as momentum content;
An information processing program that further extracts, from the user-generated content being distributed, content for which the ratio of the number of times played in a day to the average number of times played per day in a first specified period is equal to or greater than a specified threshold, as rapidly trending content.