JP2024072296A - Message analysis device, message analysis method and message analysis program - Google Patents

Abstract

[Problem] To provide a message analysis device, a message analysis method, and a message analysis program that can objectively and quantitatively grasp the level of interest in messages related to a specific theme. [Solution] A message analysis device according to one aspect of the present disclosure is characterized by having a first acquisition unit that acquires the number of messages related to a specific theme posted in a first period, a second acquisition unit that acquires a leveled number of messages obtained by leveling the number of all messages posted in a second period longer than the first period to fit the first period, and a third acquisition unit that acquires, as the level of interest in messages related to the specific theme, the ratio between the number of messages related to the specific theme posted in the first period and the leveled number of messages obtained by leveling the number of all messages posted in the second period to fit the first period. [Selected Figure] Figure 4

Description

The present disclosure relates to a message analysis device, a message analysis method, and a message analysis program.

For example, messages related to products and services posted on social networking services (SNS) such as Twitter (registered trademark) and Facebook (registered trademark) are analyzed. In addition, in such analysis techniques, messages are classified into multiple categories using a machine learning classifier.

Patent Document 1 describes a message classification system having an extraction unit and a classification unit. The extraction unit extracts a portion of multiple posted messages based on rules regarding the message poster, reply destination, or content. The classification unit classifies the extracted messages using a machine learning classifier.

JP 2018-036756 A

When analyzing and classifying messages, attempts are made to understand the level of interest (buzziness) in messages related to specific themes (for example, products and services, as well as television programs, digital comics, company names, brand names, product names, etc.).

However, according to the inventor's intensive research, when trying to grasp the level of interest (buzziness) in messages on a specific topic over a very short period of time (for example, one day), if a sudden event or incident (for example, a typhoon or war) occurs during that period, the number of messages on the subject of that sudden event or incident increases explosively, and messages are influenced by this (because they are drowned out or buried), making it difficult to objectively and quantitatively grasp the level of interest (buzziness) in messages on a specific topic.

Therefore, one of the objectives of this disclosure is to provide a message analysis device, a message analysis method, and a message analysis program that can objectively and quantitatively grasp the level of interest in messages related to a specific topic.

A message analysis device according to one aspect of the present disclosure is characterized by having a first acquisition unit that acquires the number of messages on a specific theme posted during a first period, a second acquisition unit that acquires a leveled number of messages obtained by leveling the number of all messages posted during a second period longer than the first period to fit the first period, and a third acquisition unit that acquires the ratio between the number of messages on a specific theme posted during the first period and the leveled number of messages obtained by leveling the number of all messages posted during the second period to fit the first period as a degree of interest in messages on the specific theme.

According to one aspect of the present disclosure, it is possible to provide a message analysis device, a message analysis method, and a message analysis program that can objectively and quantitatively grasp the level of interest in messages related to a specific topic.

FIG. 1 illustrates an example of a schematic configuration of a message analysis system. 4 is a functional block diagram illustrating an example of an internal configuration of a message analysis server. FIG. FIG. 13 is a diagram showing an example of a case where each broadcast program in a broadcast program guide is displayed with a specific theme. FIG. 2 is a diagram showing an example of a side-by-side display of a broadcast program and an SOB. A figure showing an example of simultaneous display of broadcast programs, SOBs, number of tweets, number of retweets, positive ratio, negative ratio, and audience rating. FIG. 13 is a diagram showing the relationship between the posting volume, the number of posting users, and the viewing rate when a certain broadcast program is selected. FIG. 2 is a diagram showing an example of the functional configuration of a user terminal, a program broadcasting server, a message posting server, and a message analysis server. FIG. 2 is a diagram illustrating an example of the hardware configuration of a user terminal, a program broadcasting server, a message posting server, and a message analysis server.

Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In this specification, a broadcast program guide may be read as an "information content group," and each broadcast program in the broadcast program guide may be read as "each information content in the information content group." Also, in this specification, a specific theme may relate to each information content (each broadcast program) in an information content group (e.g., a broadcast program guide).

Figure 1 is a diagram showing an example of the schematic configuration of a message analysis system 1. As shown in Figure 1, the message analysis system 1 has user terminals 10 (10-1 to 10-N) (N is any natural number), a program broadcasting server 20, a message posting server 30, and a message analysis server (message analysis device) 40. The user terminals 10 (10-1 to 10-N), the program broadcasting server 20, the message posting server 30, and the message analysis server 40 are connected to each other via a network 50 so that they can communicate with each other.

In FIG. 1, the user terminals 10 (10-1 to 10-N), the program broadcasting server 20, the message posting server 30, and the message analysis server 40 are depicted as a single simplified configuration for the sake of convenience. In reality, the user terminals 10 (10-1 to 10-N), the program broadcasting server 20, the message posting server 30, and the message analysis server 40 have a more complicated configuration than that depicted in FIG. 1, both in terms of hardware and software configuration. Details will be described later, but for example, the program broadcasting server 20, the message posting server 30, and the message analysis server 40 may be configured to include multiple servers, databases, etc. Below, the user terminal 10 (representative symbol) may be used to collectively refer to a single or multiple user terminals 10-1 to 10-N (which may have the same or common configuration).

The term "message analysis server (message analysis device)" may be read as "message analysis system" (the two may be synonymous). In other words, the "message analysis server (message analysis device) and message analysis system" may be understood as a configuration including only the message analysis server 40, or as a configuration including the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. In other words, in the "message analysis server (message analysis device) and message analysis system," the user terminal 10, the program broadcasting server 20, and the message posting server 30 are not essential components, and it is sufficient that the message analysis server 40 is included.

The message analysis method and message analysis program disclosed herein are realized by causing a computer (CPU: Central Processing Unit) included in a message analysis server (message analysis device) to execute various processing steps.

The user terminal 10 is, for example, a mobile terminal (mobile communication terminal) such as a mobile phone, a smartphone, or a tablet terminal, or a personal computer (PC). That is, the user terminal 10 in this specification is a communication device that can perform various communications with at least one of the program broadcasting server 20, the message posting server 30, and the message analysis server 40. The user terminal 10 may communicate with a network (such as the Internet) via, for example, wired and/or wireless (e.g., Long Term Evolution (LTE), ^5th Generation New Radio (5G NR), Wi-Fi (registered trademark), etc.). The communication method of the user terminal 10 has a degree of freedom, and various design changes are possible, and may be acoustic communication, visible light communication, etc. The user terminal 10 may execute a browser and various other applications by user operation.

The owner (user) of the user terminal 10 can post messages using SNS (Social Networking Service) such as Twitter (registered trademark) or Facebook (registered trademark) by accessing the message posting server 30 and operating the user terminal 10. The messages may be related to various themes (for example, themes related to each broadcast program in the broadcast program guide, themes based on keywords in various fields such as product names, service names, company names, brand names, hobbies, etc.), or may be messages at the level of the user's monologue that have no particular meaning. In other words, the posted message referred to here may include all messages posted to the message posting server 30 via the user terminal 10, regardless of their contents. The messages may also include posted messages, reply messages, spread messages, tweets, retweets, etc., and may be interchangeable.

The program broadcasting server 20 is, for example, a device that distributes program broadcasts to a television (TV). Here, the television (television receiver) may be a device that has a function of receiving at least one of terrestrial broadcasts, broadcasts by broadcasting satellites (BS)/communications satellites (CS), and Internet broadcasts (Internet television). For example, the television may be a multi-function television, a smart TV, an IP (Internet Protocol) TV, a set-top box, and the like. Note that broadcasts refer to the transmission of electric communications intended to be directly received by the public, and may include wireless broadcasts, Internet broadcasts, and the like. The program broadcasting server 20 has a function of performing various communications with at least one of the user terminal 10, the message posting server 30, and the message analysis server 40, and may be interpreted as a device, a circuit, and the like.

The message posting server 30 is a server for operating a social networking service (SNS) such as Twitter (registered trademark) or Facebook (registered trademark). As described above, various messages are posted to the message posting server 30 via the user terminal 10. The message posting server 30 has a function for performing various communications with at least one of the user terminal 10, the program broadcasting server 20, and the message analysis server 40, and may be interpreted as a device, circuit, etc.

The message analysis server 40 has a function of performing various communications with at least one of the user terminal 10, the program broadcasting server 20, and the message posting server 30, and may be interpreted as a device, a circuit, or the like. The message analysis server 40 analyzes messages posted to the message posting server 30 via the user terminal 10. Specifically, the message analysis server 40 analyzes messages posted to the message posting server 30 that relate to a specific theme, in this case, a theme related to a program broadcast by the program broadcasting server 20, and obtains an index (SOB: Share of Buzz) for objectively and quantitatively grasping the interest level (buzz level) of messages related to the specific theme (theme related to the broadcast program). In this way, the message analysis server 40 is a device for automating buzz analysis, and enables the provision of large-scale, continuous buzz analysis by processing using artificial intelligence (AI: Artificial Intelligence) or machine learning.

Figure 2 is a functional block diagram showing an example of the internal configuration of the message analysis server 40. As shown in Figure 2, the message analysis server 40 has a message analysis unit 41, a first acquisition unit 42, a second acquisition unit 43, a third acquisition unit 44, a display unit 45, and a search unit 46.

The message analysis unit 41 analyzes messages (posted data) posted to the message posting server 30 via the user terminal 10. The posted messages (posted data) analyzed by the message analysis unit 41 may include (or may be linked to) a post ID, author data, URL data, source data, title data, message data, posting date and time data, category data, and emotion data, for example.

The post ID included in the post data is, for example, identification information for the post data. The author data included in the post data is, for example, data indicating the account name of the poster of the message associated with the post data. The URL data included in the post data is, for example, data indicating the URL at which the message associated with the post data can be viewed. The source data included in the post data is, for example, identification information for the SNS system in which the message associated with the post data was posted. The title data included in the post data is, for example, data indicating the title of the message associated with the post data. The message data included in the post data is, for example, data indicating the content of the message associated with the post data. The post date and time data included in the post data is, for example, data indicating the post date and time of the message associated with the post data.

The category data included in the post data is, for example, data indicating the category of a message associated with the post data. For example, any one of VOC (Voice Of Customer), Q&A (Questions and Answers), PR (Public Relations), ISU (Information Shared by User), and Garbage is set as the value of the category data. The post data according to this embodiment may be classified into any one of these five categories. The VOC category is set to post data identified as a message representing the poster's opinion. The Q&A category is set to post data identified as a message representing a question or an answer. The PR category is set to post data identified as a message representing an advertisement. The ISU category is set to post data identified as a message shared by a user. The Garbage category is set to post data identified as a message that should be excluded from viewing and analysis, such as an automatically generated message.

The emotion data included in the post data is, for example, data indicating the emotion expressed by the message associated with the post data. The value of the emotion data may be set to, for example, either Positive, which indicates a positive emotion, or Negative, which indicates a negative emotion.

In this way, the analysis by the message analysis unit 41 allows details of the message (posting data) posted to the message posting server 30 via the user terminal 10 to be understood and used in the subsequent message analysis process (buzz analysis).

The first acquisition unit 42 acquires the number of messages on a specific theme posted in a first period (here, one day) in a specified area (for example, the whole of Japan or the whole world). If the specific theme is a sports match, messages about the content and progress of the match, as well as the movements of the players and the manager's tactics, etc., correspond to "messages on a specific theme". If the specific theme is a television drama, messages including the content of the television drama, impressions of the characters, and information about the stores and goods that appear in the television drama correspond to "messages on a specific theme". The first acquisition unit 42 can acquire the number of messages on a specific theme posted in a first period (here, one day) by performing processing such as keyword search on messages (posted data) posted to the message posting server 30 via the user terminal 10.

The second acquisition unit 43 acquires a leveled number of messages obtained by leveling the total number of messages posted in a second period (here, three or six months) that is longer than the first period (here, one day) in a specified region (e.g., the whole of Japan or the whole world) to fit the first period (here, one day). If the second period is three months, the "leveled number of messages" corresponds to the value obtained by dividing the total number of messages posted in the three months by the corresponding number of days (e.g., 91 days for April to June, 92 days for July to September). If the second period is six months, the "leveled number of messages" corresponds to the value obtained by dividing the total number of messages posted in the six months by the corresponding number of days (e.g., 183 days for April to September). In this way, the "leveled number of messages" may be a moving average process that converts the total number of messages posted in the three or six months into the number of messages per day.

The third acquisition unit 44 acquires, as the interest level of messages on a specific theme, the ratio between the number of messages on a specific theme posted in a first period (here, one day) acquired by the first acquisition unit 42 and the number of leveled messages acquired by the second acquisition unit 43, which is the total number of messages posted in a second period (here, three months or six months) leveled to fit the first period (here, one day). For example, the third acquisition unit 44 acquires the share of the amount of posts on a specific theme, with the total amount of posts on a specific theme (television programs or company/brand names) as the numerator and the total amount of posts on a specific theme as the denominator. The share of the amount of posts on a specific theme may be called the leveled SOB (Share of Buzz) = [the number of posts on a specific theme per day (e.g., the number of tweets)] / [the total number of posts per day (e.g., the total number of tweets) (three-month moving average or six-month moving average)]. SOB can be displayed as a percentage (%), but if left as is, the denominator will be too large compared to the numerator, resulting in a value with many decimal points and reduced distinguishability, so it is also possible to display SOB as a percentage.

For example, when trying to grasp the degree of interest (buzziness) of messages on a specific theme in a very short period of time (e.g., one day), if a sudden event or incident (e.g., a typhoon, war, etc.) occurs during that period, messages on the theme of the sudden event or incident will increase explosively and be influenced by it (because they are drowned out or buried), making it difficult to grasp the degree of interest (buzziness) of messages on the specific theme objectively and quantitatively. If, for example, the number of messages on a specific theme per day divided by the total number of messages per day is used to calculate SOB, the denominator will increase by an order of 10 or 100 times when messages on the theme of a sudden event or incident increase explosively, so that SOB will become a similar small value regardless of the specific theme, making it difficult to grasp the degree of interest (buzziness) of messages on a specific theme objectively and quantitatively. In recent years, automatic posting software or systems (sometimes called bots) or temporary user accounts (sometimes called throwaway accounts) may be used to intentionally post large amounts of messages, making this difficulty increasing.

In contrast, in this embodiment, the third acquisition unit 44 determines the ratio between the number of messages on a specific theme posted in a day and the number of normalized messages obtained by normalizing the total number of messages posted in a three or six month period to fit a day as an improved SOB, and can objectively and quantitatively grasp the level of interest in messages on a specific theme by referring to the improved SOB.

In the above example, the first period is one day, the second period is three months or six months, and the number of leveled messages is a moving average process that converts the total number of messages posted in three or six months into the number of messages per day (three-month moving average or six-month moving average). However, there is a degree of freedom in how the first period and the second period are specifically set, and various design changes are possible. For example, the first period may be set to seven days, and the second period may be set to one year. In addition, the specified area from which the number of messages related to a specific theme and the number of leveled messages are obtained is not limited to the whole of Japan or the whole of the world, and may be a prefecture unit in the case of Japan, or the European Union (EU) in the case of the world. In other words, there is a degree of freedom in how the specified area is set, and various design changes are possible. As an example, by setting the second period to a period that is not too long, such as three months, when the total number of messages increases significantly suddenly or intentionally, the ratio of the number of messages related to a specific theme decreases, and although the SOB decreases, the fluctuation is suppressed to a degree that does not make the overall tendency or trend unclear. That is, in this example, the decrease in SOBs indicates that there has been a sudden or intentional increase in the total number of messages, while at the same time providing an understanding of the overall tendency or trend in the number of messages on a particular topic.

Figure 3 shows an example of displaying each broadcast program in a broadcast program guide with a specific theme. In the example of Figure 3, broadcast programs of broadcast stations X and Y from 19:00 to 21:00 on a certain day are displayed, but it is of course possible to display broadcast programs of other broadcast stations in different times on different days. In the example of Figure 3, in addition to the fact that the TV drama "ABCDEFG" will be broadcast in the broadcast time slot of broadcast station X from 19:00 to 20:00, its cast "●●●●●" and its scenario "XXXXX" are displayed. Also, in addition to the fact that the comedy special "HIJKLMN" will be broadcast in the broadcast time slot of broadcast station X from 20:00 to 21:00, its cast "▲▲▲▲▲" and its scenario "△△△△△" are displayed. Furthermore, in the 19:00-21:00 slot of broadcast station Y, the Japan national soccer team international friendly match "Japan vs. ■■■■■" will be broadcast, and the play-by-play "PPPPP," commentary "QQQQQ," and guest "RRRRR" are displayed. The content displayed in the slots of each broadcast program in the broadcast program guide is not limited to the example shown in FIG. 3, and various design changes are possible.

In this way, in the example of Figure 3, the specific themes that are the subject of measurement of SOB, which objectively and quantitatively indicates the level of interest in a message (buzziness), are those that apply to each broadcast program in the broadcast program guide, and the TV drama "ABCDEFG," the comedy special "HIJKLMN," and the Japan national soccer team international friendly match "Japan vs. ■■■■■" correspond to these specific themes.

The display unit 45 displays a broadcast program guide (information content group) as exemplified in FIG. 3, and also displays each broadcast program (each information content) selectably from the broadcast program guide (information content group). The search unit 46 operates an input unit such as a keyboard, mouse, or button to select each broadcast program from the broadcast program guide displayed on the display unit 45, or to execute various search processes. For example, the search unit 46 can search for messages (posted data) posted (accumulated) on the message posting server 30 via a search screen displayed on the display unit 45. In addition, when a predetermined operation is performed by the search unit 46, an analysis result screen is displayed on the display unit 45. On the analysis result screen, an image is arranged that represents an analysis result of the message (posted data), such as the distribution of categories associated with the message (posted data) posted (accumulated) on the message posting server 30.

Figures 4A to 4C are diagrams showing an example of a side-by-side display of a broadcast program and an SOB. In Figure 4A, when the TV drama "ABCDEFG" is selected (e.g., double-clicked) as a specific theme in Figure 3, an SOB (here, 0.0000519) for objectively and quantitatively grasping the level of interest in messages related to the TV drama "ABCDEFG" is also displayed. In Figure 4B, when the comedy special "HIJKLMN" is selected (e.g., double-clicked) as a specific theme in Figure 3, an SOB (here, 0.0003663) for objectively and quantitatively grasping the level of interest in messages related to the comedy special "HIJKLMN" is also displayed. In FIG. 4C, when the Japan national soccer team international friendly match "Japan VS ■■■■■" is selected (e.g., double-clicked) as the specific theme in FIG. 3, the SOB (here, 0.0025099) for objectively and quantitatively grasping the degree of interest in the message related to the Japan national soccer team international friendly match "Japan VS ■■■■■" is also displayed. In the examples of FIG. 4A to FIG. 4C, the degree of interest in the message related to the Japan national soccer team international friendly match "Japan VS ■■■■■" as the specific theme is the highest (highest SOB = 0.0025099), the degree of interest in the message related to the comedy special "HIJKLMN" as the specific theme is the second highest (second highest SOB = 0.0003663), and the degree of interest in the message related to the TV drama "ABCDEFG" as the specific theme is the lowest (lowest SOB = 0.0000519).

In this way, the display unit 45 displays each broadcast program (each information content) from the broadcast program guide (group of information contents) in a selectable manner, and when a broadcast program (information content) is selected, it also displays the ratio (SOB) that is the level of interest in messages related to that broadcast program (information content). This allows the user to efficiently grasp the broadcast program (information content) that is a specific theme and the ratio (SOB) that is the level of interest in messages related to that broadcast program (information content).

The display unit 45 displays each broadcast program (each information content) from the broadcast program guide (group of information content) in a selectable manner, and when a broadcast program (information content) is selected, may simultaneously display a ratio (SOB) indicating the level of interest in messages related to the broadcast program (information content), as well as the number of tweets, number of retweets, positive ratio, and negative ratio of messages related to the broadcast program (information content).

The display unit 45 displays each broadcast program (each information content) from the broadcast program guide (group of information content) in a selectable manner, and when a broadcast program (information content) is selected, may simultaneously display a ratio (SOB) indicating the degree of interest in messages related to the broadcast program (information content), the number of tweets and retweets that account for messages related to the broadcast program (information content), and the viewership rating of the broadcast program (information content).

Figures 5A to 5C are diagrams showing an example of the simultaneous display of a broadcast program, SOB, number of tweets, number of retweets, positive ratio, negative ratio, and audience rating. In Figure 5A, in addition to the SOB (0.0000519 as mentioned above) of the TV drama "ABCDEFG," the number of tweets (TW) of 6,534, the number of retweets (RT) of 6,630, a positive ratio of 27.2%, a negative ratio of 18.0%, and an audience rating of 8.4% are simultaneously displayed. In Figure 5B, in addition to the SOB (0.0003663 as mentioned above) of the comedy special "HIJKLMN," the number of tweets (TW) of 16,559, the number of retweets (RT) of 14,328, a positive ratio of 25.9%, a negative ratio of 22.1%, and an audience rating of 13.3% are simultaneously displayed. In Figure 5C, in addition to the SOB (0.0025099 mentioned above) for the Japan national soccer team international friendly match "Japan vs. ■■■■■," the number of tweets (TW) of 38,814, the number of retweets (RT) of 32,513, a positive ratio of 32.0%, a negative ratio of 30.7%, and a viewer rating of 16.2% are simultaneously displayed. In this way, the simultaneous display of the broadcast program, SOB, number of tweets, number of retweets, positive ratio, negative ratio, and viewer rating allows for efficient understanding.

The manner in which the broadcast program, SOB, number of tweets, number of retweets, positive ratio, negative ratio, and audience rating are simultaneously displayed has a degree of freedom, and various design modifications are possible. For example, when a broadcast program is selected (e.g., double-clicked) from the broadcast program guide, the screen changes to display the broadcast program, SOB, number of tweets, number of retweets, positive ratio, negative ratio, and audience rating in a graph format (bar graph, line graph, pie chart, etc.), allowing the viewer to grasp how each item has changed over the course of a day. For example, the SOB, number of tweets, number of retweets, positive ratio, and negative ratio may be simultaneously displayed so that the viewer can grasp the changes in the date on which a certain broadcast program was broadcast, one week before and after the date (two weeks in total).

The display unit 45 displays each broadcast program (each information content) from the broadcast program guide (group of information contents) in a selectable manner, and when a broadcast program (information content) is selected (e.g., by double-clicking), may simultaneously display a ratio (SOB) indicating the level of interest in messages related to the broadcast program (information content), the number of tweets and retweets in the messages related to the broadcast program (information content), and the viewership rating of the broadcast program (information content) scaled on the same axis. In this case, the SOB, number of tweets, number of retweets, and viewership rating may be scaled on the same axis so that their maximum values are at the same position. This allows the SOB, number of tweets, number of retweets, and viewership rating to be displayed with better visibility, making it easier for the user to understand them.

Figure 6A is a diagram showing the relationship between the amount of posts (number of tweets, number of retweets) and the viewership rate when a certain broadcast program is selected, and Figure 6B is a diagram showing the relationship between the number of posting users and the viewership rate when a certain broadcast program is selected. As shown in Figures 6A and 6B, the amount of posts (number of tweets, number of retweets), the number of posting users, and the viewership rate for a certain broadcast program can be easily understood.

The display unit 45 may display each broadcast program (each information content) from the broadcast program guide (group of information contents) in a selectable manner, and when a broadcast program (information content) is selected (e.g., by double-clicking), may display information about the poster of the message related to the broadcast program (information content) and detailed information about the broadcast program (information content). The information about the poster of the message related to the broadcast program (information content) may include, for example, the age, gender, hobbies, interests, occupation, etc. of the message poster. The detailed information about the broadcast program (information content) may include, in the case of a television drama, a detailed scenario of the television drama or the URL of a dedicated homepage, etc.

In the present embodiment, an example has been described in which the specific theme relates to each broadcast program in the broadcast program guide. However, there is a degree of freedom in the specific theme that can be the subject of a posted message, and various design modifications are possible. For example, the specific theme can be set based on keywords in any field, such as product names, service names, company names, brand names, hobbies, and interests. Then, it is possible to obtain SOBs for keywords such as product names, service names, company names, brand names, hobbies, and interests that are specific themes.

In this way, in the message analysis device according to the present disclosure, the first acquisition unit acquires the number of messages on a specific theme posted in a first period, the second acquisition unit acquires a leveled number of messages obtained by leveling the total number of messages posted in a second period that is longer than the first period to fit the first period, and the third acquisition unit acquires the ratio between the number of messages on a specific theme posted in the first period and the leveled number of messages obtained by leveling the total number of messages posted in the second period to fit the first period as the level of interest in messages on the specific theme. This makes it possible to objectively and quantitatively grasp the level of interest in messages on a specific theme.

Figure 7 is a diagram showing an example of the functional configuration of the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. As shown in Figure 7, the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40 each have a control unit 110, a memory unit 120, a communication unit 130, an input unit 140, and an output unit 150. Note that Figure 7 shows an example of the functional blocks of the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40, and they may have other functional blocks not shown in Figure 7. Also, they may be configured not to include some of the functional blocks.

The control unit 110 controls the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. The control unit 110 can be configured as a controller, a control circuit, or a control device that is described based on a common understanding in the technical field related to the present invention. The control unit 110 may configure the message analysis unit 41, the first acquisition unit 42, the second acquisition unit 43, the third acquisition unit 44, and the search unit 46 of the message analysis server 40.

The memory unit 120 stores information used by the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. The memory unit 120 can be configured, for example, with a memory, storage, storage device, etc. that are described based on a common understanding in the technical field related to the present invention.

The communication unit 130 performs communication (e.g., mutual communication) between the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. The communication unit 130 can be configured with a transmitter/receiver, a transmission/reception circuit, or a transmission/reception device that is described based on a common understanding in the technical field related to the present invention. Note that the communication unit 130 may be configured with a transmission unit and a reception unit.

The input unit 140 accepts inputs at the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. The input unit 140 may also be connected to a specific device, storage medium, etc., and accept data input. The input unit 140 may output the input results to, for example, the control unit 110. The input unit 140 may be configured with input devices such as a keyboard, mouse, and buttons, input/output terminals, input/output circuits, etc., which are described based on common understanding in the technical field related to the present invention. The input unit 140 may also be configured as an integrated unit with a display unit (for example, a touch panel). The input unit 140 may constitute the display unit 45 of the message analysis server 40.

The output unit 150 performs output on the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40. For example, the output unit 150 may be configured to include a display unit that displays images, an audio output unit that outputs audio, and the like. The display unit may be configured, for example, by a display device such as a display or monitor that is described based on a common understanding in the technical field related to the present invention. Furthermore, the audio output unit may be configured by an output device such as a speaker that is described based on a common understanding in the technical field related to the present invention. The output unit 150 may constitute the display unit 45 of the message analysis server 40.

The block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of hardware and/or software. Furthermore, there are no particular limitations on the means of realizing each functional block. That is, each functional block may be realized by a single physically connected device, or may be realized by two or more physically separated devices connected by wire or wirelessly.

For example, the devices in one embodiment of the present disclosure (user terminal 10, program broadcasting server 20, message posting server 30, and message analysis server 40) may function as a computer that performs the message analysis processing of the present disclosure. FIG. 8 is a diagram showing an example of the hardware configuration of the user terminal 10, program broadcasting server 20, message posting server 30, and message analysis server 40. The above-mentioned user terminal 10, program broadcasting server 20, message posting server 30, and message analysis server 40 may be physically configured as a computer device including a processor 1001, memory 1002, storage 1003, communication device 1004, input device 1005, output device 1006, bus 1007, etc.

In this disclosure, the terms apparatus, circuit, device, unit, server, etc. may be used interchangeably. The hardware configurations of the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40 may be configured to include one or more of the devices shown in the figures, or may be configured to exclude some of the devices.

For example, although only one processor 1001 is shown, there may be multiple processors. Furthermore, processing may be performed by one processor, or processing may be performed by two or more processors simultaneously, sequentially, or using other techniques. Furthermore, the processor 1001 may be implemented by one or more chips.

The functions of the user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40 are realized by loading specific software (programs) onto hardware such as the processor 1001 and memory 1002, causing the processor 1001 to perform calculations and control communications via the communication device 1004, and the reading and/or writing of data in the memory 1002 and storage 1003, etc.

The processor 1001, for example, operates an operating system to control the entire computer. The processor 1001 may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. Each unit, such as the control unit 110 described above, may be realized by the processor 1001.

The processor 1001 also reads out programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002, and executes various processes according to these. The programs used are those that cause a computer to execute at least some of the operations described in the above-mentioned embodiments. For example, the control unit 110 may be realized by a control program stored in the memory 1002 and running on the processor 1001, and similar implementations may be made for other functional blocks.

The memory 1002 is a computer-readable recording medium, and may be composed of, for example, at least one of a Read Only Memory (ROM), an Erasable Programmable ROM (EPROM), an Electrically EPROM (EEPROM), a Random Access Memory (RAM), and other suitable storage media. The memory 1002 may also be called a register, a cache, a main memory, etc. The memory 1002 may store executable programs (program codes), software modules, etc. for implementing a method according to one embodiment.

Storage 1003 is a computer-readable recording medium, and may be composed of at least one of a flexible disk, a floppy disk, a magneto-optical disk (e.g., a compact disk (CD-ROM (Compact Disc ROM)), a digital versatile disk, a Blu-ray (registered trademark) disk), a removable disk, a hard disk drive, a smart card, a flash memory device (e.g., a card, a stick, a key drive), a magnetic stripe, a database, a server, and other suitable storage media. Storage 1003 may be called an auxiliary storage device. Note that the above-mentioned storage unit 120 may be realized by memory 1002 and/or storage 1003.

The communication device 1004 is hardware (transmission/reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also called, for example, a network device, a network controller, a network card, or a communication module. The communication device 1004 may include a SIM card. The above-mentioned communication unit 130 may be realized by the communication device 1004.

The input device 1005 is an input device (e.g., a keyboard, a mouse, etc.) that accepts input from the outside. The output device 1006 is an output device (e.g., a display, a speaker, etc.) that performs output to the outside. The input device 1005 and the output device 1006 may be integrated into one (e.g., a touch panel). The above-mentioned input unit 140 and output unit 150 may be realized by the input device 1005 and the output device 1006, respectively.

In addition, each device such as the processor 1001 and memory 1002 is connected by a bus 1008 for communicating information. The bus 1007 may be configured as a single bus, or may be configured with different buses between the devices.

The user terminal 10, the program broadcasting server 20, the message posting server 30, and the message analysis server 40 may be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized by the hardware. For example, the processor 1001 may be implemented by at least one of these pieces of hardware.

(Modification)
In addition, terms explained in this disclosure and/or terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings.

The information, parameters, etc. described in this disclosure may be expressed using absolute values, may be expressed using relative values from a predetermined value, or may be expressed using other corresponding information. Furthermore, the names used for parameters, etc. in this disclosure are not limiting in any way.

The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

Information, signals, etc. may be input and output via multiple network nodes. The input and output information, signals, etc. may be stored in a specific location (e.g., memory) or may be managed using a table. The input and output information, signals, etc. may be overwritten, updated, or added to. Output information, signals, etc. may be deleted. Input information, signals, etc. may be transmitted to another device.

In addition, notification of specific information (e.g., notification that "X is the case") is not limited to explicit notification, but may be implicit (e.g., by not notifying the specific information or by notifying other information).

Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

Software, instructions, information, etc. may also be transmitted and received via at least one of a transmission medium and a signal waveform. For example, if software is transmitted from a website, server, or other remote source using at least one of wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)) and wireless technologies (such as infrared, microwave), then at least one of these wired and wireless technologies is included within the definition of a transmission medium.

As used in this disclosure, the terms "system" and "network" may be used interchangeably.

Each aspect/embodiment described in this disclosure may be used alone, in combination, or switched between depending on the implementation. In addition, the processing procedures, sequences, flow charts, etc. of each aspect/embodiment described in this disclosure may be rearranged as long as there is no inconsistency. For example, the methods described in this disclosure present elements of various steps using an exemplary order, and are not limited to the particular order presented.

As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

Any reference to elements using designations such as "first," "second," etc., used in this disclosure does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient way to distinguish between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must precede the second element in some way.

When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Additionally, the term "or," as used in this disclosure, is not intended to be an exclusive or.

In this disclosure, where articles have been added through translation, such as a, an, and the in English, this disclosure may include that the nouns following these articles are in the plural form.

Although the invention disclosed herein has been described in detail above, it is clear to those skilled in the art that the invention disclosed herein is not limited to the embodiments described herein. The invention disclosed herein can be implemented in modified and altered forms without departing from the spirit and scope of the invention as defined by the claims. Therefore, the description of the disclosure is intended as an illustrative example and does not impose any limiting meaning on the invention disclosed herein.

1 Message analysis system 10 (10-1 to 10-N) User terminal 20 Program broadcast server 30 Message posting server 40 Message analysis server (message analysis device)
41 Message analysis unit 42 First acquisition unit 43 Second acquisition unit 44 Third acquisition unit 45 Display unit 46 Search unit 50 Network

Claims (7)

a first acquisition unit that acquires the number of messages related to a specific theme posted in a first period;
a second acquisition unit that acquires a normalized number of messages by normalizing the number of all messages posted during a second period that is longer than the first period so as to conform to the first period;
a third acquisition unit that acquires, as a degree of interest in messages on the specific theme, a ratio between the number of messages on the specific theme posted in the first period and a normalized number of messages obtained by normalizing the number of all messages posted in the second period to fit the first period; and
A message analysis device comprising: the first period of time is one day;
the second period is three months or six months;
The averaged number of messages is calculated by applying a moving average process to convert the total number of messages posted in a three-month or six-month period into the number of messages posted per day.
2. The message analysis device according to claim 1. the specific theme relates to each information content in the information content group;
a display unit that displays each of the information contents from the information content group in a selectable manner and, when one information content is selected, also displays the ratio, which is the degree of interest in a message related to the one information content;
3. The message analysis device according to claim 1 or 2. When an information content is selected, the display unit simultaneously displays the ratio, which is the degree of interest in messages related to the information content, and the number of tweets, the number of retweets, the positive ratio, and the negative ratio of messages related to the information content.
4. The message analysis device according to claim 3. when an information content is selected, the display unit displays information about a poster of a message related to the information content and detailed information related to the information content.
4. The message analysis device according to claim 3. Obtaining the number of messages related to a specific theme posted during a first period;
A step of obtaining a normalized number of messages by normalizing the number of all messages posted during a second period that is longer than the first period so as to fit the number of all messages posted during the first period;
obtaining a ratio between the number of messages on the specific topic posted during the first period and a normalized number of messages obtained by normalizing the number of all messages posted during the second period so as to conform to the first period, as a degree of interest in messages on the specific topic;
A message analysis method comprising the steps of: Obtaining the number of messages related to a specific theme posted during a first period;
A step of obtaining a normalized number of messages by normalizing the number of all messages posted during a second period that is longer than the first period so as to fit the number of all messages posted during the first period;
obtaining a ratio between the number of messages on the specific topic posted during the first period and a normalized number of messages obtained by normalizing the number of all messages posted during the second period so as to conform to the first period, as a degree of interest in messages on the specific topic;
A message analysis program characterized by causing a computer to execute the above steps.

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