JP6993485B1 - Information analyzer, information analysis method and information analysis program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information analysis system or the like capable of performing highly accurate event analysis based on information from a plurality of sources or a combination of information from a plurality of media, and capable of performing various aspects of the analysis results as needed. do. SOLUTION: This information analysis device is analyzed by an SNS information processing unit 111 that collects and analyzes SNS posted information, a user posted information processing unit 115 that collects and analyzes posted information from a specific user, and their processing units. It is provided with an analysis processing unit 120 that generates event information using the information and also generates a result display image 500 including the event information. In the result display image 500, the event information is displayed on a map, and the type is The event information 501, 502a, 502b is displayed in a different display mode for each, and the real-time display mode for displaying the event information in real time and the period designation display mode for displaying the event information within a predetermined designated period are selected. It is possible. [Selection diagram] FIG. 5

Description

The present invention relates to an information analyzer, an information analysis method and a program for analyzing various information such as disaster information, and in particular, is highly accurate based on a combination of information from a plurality of sources or information from a plurality of media. The present invention relates to an information analyzer, an information analysis method, and an information analysis program capable of performing event analysis and displaying the analysis results in various modes as needed.

In recent years, with the spread of the Internet, disaster information and accident information are often provided and disseminated by individuals in the form of posting on social media and the like. For example, in the case of disaster information, in addition to information such as evacuation advisories and evacuation orders provided by public institutions, of course, photo information of the site where the situation where a disaster is occurring can be confirmed is also useful. Various methods have been conventionally proposed as methods for collecting disaster information and the like by analyzing various information transmitted on social media.

As an example, the National Research and Development Corporation Information and Communication Research Organization (NICT) provides a disaster-prevention SNS information analysis system that analyzes SNS posted information to extract disaster information and displays the results in a map format (DISAANA). , Non-Patent Document 1).

Internet <https: // www. soumu. go. jp / main_content / 000672984. pdf>

Although the above information analysis system is useful because it comprehensively provides disaster information based on SNS posted information, it is a system of this type that provides prompt and more accurate analysis results. From the viewpoint of user convenience and accurate understanding of information, it is required that the information as an analysis result can be displayed in various forms according to the needs of the user who browses it. It can be said that it is desirable.

Therefore, an object of the present invention is to be able to perform highly accurate event analysis based on a combination of information from a plurality of sources or information from a plurality of media, and display the analysis results in various modes as necessary. It is to provide an information analysis system, an information analysis method and an information analysis program that can be used.

The information analyzer of one aspect of the present invention for solving the above problems is as follows:
The SNS Information Processing Department, which collects and analyzes information posted on social media,
The User Post Information Processing Department, which collects and analyzes posted information from specific users,
An analysis processing unit that generates event information using the information analyzed by those processing units and also generates a result display image containing the event information.
In an information analyzer equipped with
In the result display image,
The event information is displayed on the map, the event information is displayed in a display mode different for each type, and the event information is displayed.
A real-time display mode for displaying the event information in real time and a period-designated display mode for displaying the event information within a predetermined designated period can be selected.
Information analyzer.

According to the present invention, it is possible to perform highly accurate event analysis based on information from a plurality of sources or a combination of information from a plurality of media, and display the analysis results in various modes as needed. It is possible to provide an information analysis device, an information analysis method, and an information analysis problem.

It is a figure which shows the structural example of the system which concerns on one embodiment of this invention. It is a figure which shows the configuration example of the information analysis server of this embodiment. This is an example of posted information. Another example of posted information. It is a flowchart which shows an example of the process which concerns on one form of this invention. This is an example of a result display screen in one embodiment of the present invention.

Detailed description of the invention

〔System configuration〕
As schematically shown in FIG. 1, the system of the present embodiment includes an SNS server 10 connected to a network such as the Internet 50, a public information server 20 also connected to the network and providing public information, and the system. It includes a user-submitted information server 30 that provides information from a user (example), and an information analysis server 100 that collects and analyzes information from these servers.

In FIG. 1, each device is drawn one by one, but the number of these devices is not an essential matter of the present invention, and of course, each device may be a plurality of devices. Alternatively, a plurality of devices may be configured as one device. Further, although the "server" is given as an example, the subject of data processing is not limited to a specific physical configuration. As a network, the Internet 50 is taken as an example, but of course, other networks can also be used. A system configuration may be configured in which some of the servers 10, 20, and 30 are not provided.

The SNS server 10 is a server that stores posted information posted on social media by general users such as individuals and businesses. Examples of social networks include Twitter (registered trademark), Facebook (registered trademark), Instagram (registered trademark), TikTok (registered trademark), YouTube (registered trademark), LINE (registered trademark), and the like. Not limited to. These SNS information may be only one type or a combination of a plurality of types. The SNS server 10 is not necessarily limited to acquiring information in advance and accumulating the information, but may be one that collects and accumulates information on social media in real time using a predetermined API, crawler, or the like. ..

The public information server 20 is a server that stores public information such as infrastructure-related information, information announced by the national government / local government, and weather information, instead of information from general users such as social media. Not all of the above information is mandatory, but only some of it may be targeted.

As infrastructure-related information, for example, one of information such as railway operation information, air operation information, bus operation information, ship operation information, power outage information, gas supply stop information, water outage information, road information, communication / system failure information, etc. Includes one or more. Although not limited, the railway operation information may be from each railway company, the air operation information may be from each airline, and the bus operation information may be from each bus company. The ship operation information may be from each shipping company, the power failure information may be from each power company, and the communication / system failure information may be from each communication carrier or service provider. It may be.

The national / local government announcement information includes one or more of evacuation information at the time of a disaster, evacuation shelter establishment information, and emergency-related information. Specific examples include information such as L-alert (disaster information sharing system) and national instantaneous warning system (J-alert).

Meteorological information includes one or more of information on floods, meteorological warnings, earthquakes, landslides, heavy rains, typhoons, and the like. Specifically, one or more of Earthquake Early Warning / Seismic Intensity Bulletin, Sediment Disaster Warning Information, River Flood Information, Meteorological Warning / Warning, Record Short-Time Heavy Rain Information, Typhoon Information, Eruption Information, Tsunami Information, etc. Be done.

The user-generated information server 30 is a server that stores information (user-generated content) posted by a specific user. The specific user here refers to a person (individual, business operator) registered in advance to use a predetermined service, etc., and as an example, a user who uses this system or a system or service related to this system. May be. The advantages of using the information of a specific user in addition to the SNS posted information include the following. That is, by setting the environment in which a predetermined platform or application can be used in advance, this specific user becomes an entity capable of providing user-generated content with high reliability and accuracy in the event of a disaster, etc., and effectively uses this information. This is because it is possible to generate event information with higher accuracy by using it.

The information analysis server 100 includes an analysis device 101 that performs predetermined processing on the collected information, and a display unit 190 that displays the analysis result. The analyzer 101 is composed of one or more computers, and the display unit 190 is also composed of one or more displays. The information analysis server 100 may be any as long as it can perform the information analysis processing of the present embodiment described later, and is not limited to a specific physical configuration.

Specifically, as shown in FIG. 2, the analyzer 101 includes an SNS information processing unit 111 that collects and analyzes information on social media, a public information processing unit 113 that collects and analyzes public information, and a specific user posts. It has a user-submitted information processing unit 115 that collects and analyzes the collected information. Further, the analyzer 101 also has an analysis processing unit 120 that performs analysis processing based on the information collected and analyzed by the processing unit. It should be noted that the distinction between each part in FIG. 2 is merely exemplified as one embodiment, and in the analyzer 100, which processing unit performs which processing is not strictly limited, and is necessary for the analyzer 100 as a whole. Any processing can be performed.

[Example of processing of posted information]
(Example 1. Processing of SNS posting information)
Next, an example of processing of posted information in the information analysis server 100 of the present embodiment configured as described above will be described. FIG. 3 is a schematic diagram of SNS posting information, and FIG. 5 is a flowchart showing an example of data analysis processing.

Here, it is assumed that there is SNS posting information as shown in FIG. The SNS posted information 301 (hereinafter, also simply referred to as posted information 301) includes a photographic image 303, and in this photographic image 303, water overflows from the river 305 to the road 307 and is flooded. In addition, it is assumed that this post includes information indicating that it is flooded and location information of the photograph (for example, river name, facility name, park name, municipality name, etc.) as text information. The posted information 301 is stored in the SNS server 10 (FIG. 1). Regarding the position information (latitude / longitude information) of the SNS posting information, the mode in which the information is included is not particularly limited, and the information included as ancillary information of the photographic image or the SNS posting is not particularly limited. It may be included as metadata or the like.

For such posted information 301, the information analysis server 100 first acquires the posted information 301 from the SNS server 10 in step S1a (see FIG. 5). As described above, instead of using the posted information stored in the SNS server 10 in advance, a method of collecting information on social media in real time via API or by crawling or the like may be used.

The information analysis server 100 also collects public information and user-submitted information in steps S1b and S1c, respectively. These pieces of information may be acquired from the public information server 20 and the user-posted information server 30, but the information collected in real time may be used as in the case of the SNS-posted information.

In this example, it is assumed that there is no public information and user-posted information, and only the SNS-posted information 301 of FIG. 3 is obtained.

Next, in step S2, the information analysis server 100 performs data normalization processing on the collected posted information 301. As the normalization process, for example, a process of conforming to a predetermined format is performed. The processing here also includes processing for attaching predetermined tag information (which may be a numbering or the like) to the collected information, processing for storing the information with the tag information in the database, and the like. You may.

Next, the information analysis server 100 performs information exclusion processing regarding the posted information 301 in step S3. The exclusion process is a process of determining whether or not the information included in the target (image information, character information, etc.) corresponds to predetermined predetermined exclusion target information, and excluding the information if applicable. Specifically, if the posted information contains a URL link for a sales promotion site, even if this post contains keywords such as "flood" and "flood", the post will be posted. When it is presumed that the purpose is to guide other users who come into contact with the post to, for example, an automobile repair service shop, such post information is excluded. In addition, even if a keyword related to a disaster is included, if the posting source is a bot tool, there is a high possibility that it does not indicate an actual disaster in real time, so such posting information may be excluded. Regarding the above exclusion process, rules are prepared in advance for what kind of information is treated as non-useful information, and it is determined whether or not the target posted information corresponds to it and the process is performed. It may be a thing. It is preferable that detailed rule settings are made in order to reduce the possibility of distributing useful disaster information as non-useful information. In order to determine that the information is not real-time information, a rule may be used to exclude posts with content related to past dates.

In addition, in the example of this embodiment, since the posted image 301 does not include any predetermined exclusion target information, it is determined that the posted image 301 does not correspond to the exclusion target.

Next, in step S4, the information analysis server 100 analyzes the posted information 301 and performs an event assignment process. In this example, the information analysis server 100 determines that the information is "flooded" based on the image information and the character information of the post, and imparts the same information.

Next, in step S5, when the posted information does not hold the position information in advance, the information analysis server 100 analyzes the posted information 301 and performs the position information imparting process. In this example, the information analysis server 100 specifies the position information "xx prefecture xx city xx ward" based on the character information of the posted information 301, or the posted information 301 includes the position information of latitude and longitude. If so, the location information may be used. A certain range including a predetermined center point specified by latitude and longitude may be used as an estimation range.

Through the above series of steps, the posted information 301 is labeled with the event information of "flooding" and the location information of "xx prefecture xx city xx ward".

When an event occurs at a certain point and there are many general users who have witnessed it, it is assumed that a plurality of SNS posting information 301 will be collected. In this case as well, each posted information 301 may be analyzed by basically the same processing as above. If there is a plurality of information labeled as "flooded" and "xx city xx city xx ward" in the same time zone, the information analysis server 100 performs a process of collecting them in step S6.

Next, in step S7, the information analysis server 100 displays the disaster information obtained above on the map as shown in the result display image 500 shown in FIG. The type of map is not particularly limited, but it is possible to use an elevation map (topographic map) in addition to a general map. In FIG. 6, schematically, the first event information icon 501 indicating that the map is “flooded” is displayed on the map of “xx prefecture xx city xx ward”. A detailed explanation of the display content of the result display image 500 and the second event information icons 502a and 502b indicating other events will be described later.

In the above-described embodiment, the event information of flooding is displayed as a point by the first event information icon 501, but the present invention is not limited to this, and the place where flooding occurs is a certain "range". It may be specified as, and it may be displayed on the map. As a matter of course, the event identification / display as a "range" rather than a "point" can be similarly applied to other events other than flooding. It is also useful to grasp the target river as a "line" and identify and display the event in a line. In the case of an event such as railway operation information or an accident on a road, the railway line or road may be specified and displayed as a linear event area. Although specific illustration is omitted, in this case, linear event display may be performed along the track shape, or linear event display may be performed along the road shape. The same method can be applied to rivers and the like.

(Example 2. Processing of other posted information)
Next, an example of collecting and analyzing other posted information and displaying it on the result display image will be described. Here, it is assumed that there is SNS posting information 331 as shown in FIG. The posted information 331 includes a photographic image 333, and the photographic image 333 shows the situation of a fire. Although not shown, this post shall include the shooting position information (city, town, village name, etc.) of the photograph as text information. Similar to the example of FIG. 3, the position information of latitude and longitude may be included in the metadata of the photographic image or the post.

The information analysis server 100 can basically perform an analysis process on the posted information 331 in the same process as the process described above according to the flowchart of FIG. The difference here is that in this example, "user-posted information" is used in addition to the SNS-posted information 331. As a "user post", assume the following content:
Event: Fire Photo: Image data Position: xxx, yyy (latitude and longitude at the time of posting)

The user-posted information may be, for example, information posted through a specific user who has installed an application of a predetermined service on his / her own terminal (for example, a smartphone). Of course, the information may be transmitted via a terminal other than the smartphone.

Hereinafter, the processing on the information analysis server 100 will be described while omitting appropriate explanations for the same parts as the processing described above. First, the information analysis server 100 collects the SNS posting information 331 and the user posting information (steps S1a and S1c).

Next, in step S2, the information analysis server 100 performs data normalization processing (for example, processing for matching the format) with respect to the collected posted information 331 and user posted information.

Next, the information analysis server 100 performs the exclusion process in step S3, but in this example, since such information is not particularly included in the posted image 331 and the user posted information, it is not considered to be an exclusion target.

Next, in step S4, the information analysis server 100 analyzes the posted information 331 and performs an event assignment process. Specifically, it is determined as "fire" based on the photographic image 333 of the post, and the same information is given. As for the user-posted information, since the information of "fire" is already included as the event information, the event is not analyzed by the information analysis server 100, and the information included in the user-posted information is used as it is.

Next, in step S5, the information analysis server 100 analyzes the posted information 331 and performs a position information addition process. In this example, the location information "xx prefecture xx city xx ward aa area" is specified from the character information of the posted information 331. As for the user-submitted information, since the longitude / latitude information of the event is already included (referred to as "xx prefecture xx city xx ward bb area"), that information is used.

Next, in step S6, the information analysis server 100 performs a process of aggregating the analysis result based on the analyzed SNS posting information 331 and the analysis result based on the user posting information. That is, here, the information "fire" in "xx prefecture xx city xx ward aa area" and
The information "fire" can be obtained in "xx prefecture xx city xx ward bb area".

Next, in step S7, the information analysis server 100 displays the disaster information obtained above on the map as shown in the result display image 500 shown in FIG. Specifically, in this example, the event information icon 502a is displayed in the "xx prefecture xx city xx ward aa area" on the map, and the event information icon 502b is displayed in the "xx prefecture xx city xx ward bb area" on the map. Is displayed.

If the necessary information cannot be specified by the SNS posting information or the user posting information alone (for example, if the SNS posting information alone can identify the "fire" but the location information cannot be specified, etc. ), Other posted information and / or information specified from public information may be combined to form the final event information (as an example, when the location information cannot be specified by the SNS posted information alone, it is specified by the user posted information. Combine location information).

(Explanation of the result display image)
In the result display image 500 shown in FIG. 6, the event information icon 501 indicating "submerged" and the event information icons 502a and 502b indicating "fire" are displayed in different display modes. For example, it is preferable to display one or more of the shapes, colors, patterns, etc. of the icons differently.

As the result display image 500, for example, it is preferable in one form that the result display image 500 is configured so that an event to be displayed can be selected. As a specific example, even if a plurality of display event selection icons (515a to 515e) are displayed, such as a fire icon 515a, a flood icon 515b, an incident icon 515c, an accident icon 515d, and a weather icon 515e. good. The type of event is not limited to the above, and system failure information, lifeline information, and the like may be targeted. By selecting these icons (s), in one example, only the selected event will be displayed.

In a certain target area, it may be desired to specify a time range (for example, August 1, 2020 to August 7, 2020) and check event information that has occurred in that area. Therefore, the result display image 500 of the present embodiment is configured so that the period of the event to be displayed can be specified. In other words, in the configuration of the present embodiment, it is possible to select between a real-time display mode for displaying the currently occurring event in real time and a period-designated display mode for displaying event information within a predetermined designated period. ..

In the period specification display mode, the graphical user interface for specifying the period is not particularly limited, and any input means can be used, but in FIG. 6, the icon 520 is selected (or necessary) as an example. After that, select any icon), and you can specify the period information.

Here, the relationship between the display of the event and the time range (period range) will be described in more detail. One display mode is a) for example, the period from August 1, 2020 to August 7, 2020. A display mode (collective simultaneous display) that displays all the event information that occurred in the map, and b) an event that occurred during the time period from 6:00 to 22:00 on August 1, 2020, for example. It may have one or both of display modes in which information is animated over time. The dynamic display mode of b) is, in other words, a mode in which the time advances from 6:00 to 22:00 in this example, and the event information is sequentially displayed according to the progress. With such a dynamic display function, the user who uses this system can visually grasp and understand the temporal change of the event.

In the result display image 500, as a graphical user interface for the above-mentioned dynamic display function, a time axis display 571 and an indicator 575 moving along the time axis display 571, as shown in FIG. 6 as an example, are used. And the icon 576 for starting the movement of the indicator 575 (advancing the time at a predetermined speed) may be included. The icons 577a and 577b for fast-forwarding / rewinding the time may be provided, and an icon that is not drawn in FIG. 6 but suspends the progress may be provided. It may be an interface that switches between progress and stop by pressing the icon 576. The indicator 575 is configured so that its position can be freely changed by a movement operation on the touch panel and / or a selection movement with a mouse cursor or the like, whereby event information at a desired time corresponding to the indicator position can be confirmed. It may have been done.

As described above, in the present embodiment, various event information icons are displayed on the map, but it is also possible to change the type of map display according to the event. Is preferable. According to such a configuration, for example, the event information icon 501 indicating flooding can be displayed on a hazard map or the like instead of a normal map, and useful information can be provided to the user. Regarding the change of map display type, for example, it is possible to switch to a map such as a hazard map (for example, a map of easiness of shaking at the time of an earthquake), a weather map, a rain cloud radar, a snow cover map, a traffic congestion information map, etc. preferable. It can also be displayed on a population distribution map, spatial statistics (density) map, etc. for each time zone.

The user interface for switching the map is not particularly limited, but even if the icon 510 is selected (or any further icon is selected thereafter if necessary) and the change is made. good.

The result display image 500 is further configured to display various information related to the target area displayed on the screen in the sub-window 531 in conjunction with scrolling and enlargement / reduction of the map screen. good. As various information, for example, thumbnails 533a to 533d may be displayed in chronological order. Only various information related to the event to be displayed on the map (for example, in the case of "fire", information related to it (image, video, posted information, comment, etc.) is displayed in the sub window 531). Further, by displaying public information and weather information in a time series by distinguishing the display mode, it may be possible to assist in grasping the authenticity of the posted information. That is, such a configuration may be used. For example, earthquake information will be displayed in chronological order, and when the user confirms the occurrence of an event in the area after the fact, the time such as "an earthquake has occurred here and then this damage has occurred". It is possible to grasp the specific situation.

Although the specific embodiments of the present invention have been described above with reference to the drawings, the present invention is not limited to those contents and can be appropriately modified without departing from the spirit of the present invention.

(Additional note)
This application discloses the following contents:
1. 1. The SNS Information Processing Department (111), which collects and analyzes information posted on social media,
The User Post Information Processing Department (115), which collects and analyzes posted information from specific users,
An analysis processing unit (120) that generates event information using the information analyzed by those processing units and also generates a result display image (500) including the event information.
In the information analyzer (101) provided with
In the above result display image (500),
The event information is displayed on the map, the event information (501, 502a, 502b) is displayed in a display mode different for each type, and the event information is displayed.
It is possible to select between a real-time display mode that displays the above event information in real time and a period-specified display mode that displays event information within a predetermined specified period.
Information analyzer.

According to the above configuration, the event information is generated by using the information from a plurality of sources or by using the first post information and the second post information which are multiple media, so that the accuracy is correct. Since it is possible to perform a high-level event analysis and the results can be displayed in various modes, it becomes easy for the user to grasp and analyze the event information.

2. 2. The information analyzer according to the above description, which has a dynamic display mode for dynamically displaying event information within the designated period with respect to the result display image (500) with the passage of time.

3. 3. The information analyzer according to the above description, wherein the result display image (500) is configured so that the type of the map can be changed.

4. In addition, it has a public information processing department (113) that collects and analyzes public information.
The information analysis device according to the above description, wherein the analysis processing unit (120) also uses information analyzed by the public information processing unit to generate event information.

5. An analysis processing unit that generates event information based on at least one of posted information on social media, user posted information from a specific user, and public information, and displays the event information on a result display image (500). In the information analyzer (101) provided with 120),
In the above result display image (500),
The above-mentioned event information is displayed on the map, the above-mentioned event information is displayed in a display mode different for each type, and the above-mentioned event information is displayed.
The above-mentioned information analysis apparatus, wherein a real-time display mode for displaying the event information in real time and a period-designated display mode for displaying the event information within a predetermined designated period can be selected.

6. Steps to collect and analyze information posted on social media,
Steps to collect and analyze user posted information from specific users,
A step of generating event information using the information analyzed in those steps and a step of generating a result display image including the event information, and
Have,
In the above result display image,
The above-mentioned event information is displayed on the map, the above-mentioned event information is displayed in a display mode different for each type, and the above-mentioned event information is displayed.
It is possible to select between a real-time display mode that displays the above event information in real time and a period-specified display mode that displays event information within a predetermined specified period.
Information analysis method.

7. An information analysis method having a dynamic display mode in which event information within the specified period is dynamically displayed sequentially with the passage of time with respect to the result display image.

8. An information analysis method in which the type of the map can be changed in the result display image.

9. Information obtained by collecting and analyzing information posted on social media and information obtained by collecting and analyzing user posted information from a specific user are used to generate event information and the event concerned. An information analysis program that causes a computer to perform steps to generate a result display image containing information.
In the above result display image,
The above-mentioned event information is displayed on the map, the above-mentioned event information is displayed in a display mode different for each type, and the above-mentioned event information is displayed.
It is possible to select between a real-time display mode that displays the above event information in real time and a period-specified display mode that displays event information within a predetermined specified period.
Information analysis program.

10 SNS server 20 Public information server 30 User posted information server 50 Internet 100 Information analysis server 101 Analytical device 111 SNS information processing unit 113 Public information processing unit 115 User posted information processing unit 120 Analysis processing unit 190 Display unit 301 Posted information 303 Photo image 331 Posted information 500 Result display image 501 First event information icon 502a, 502b Second event information icon 510 Icon 531 Subwindow

Claims (9)

The SNS Information Processing Department, which collects and analyzes information posted on social media,
The User Post Information Processing Department, which collects and analyzes posted information from specific users,
An analysis processing unit that generates event information using the information analyzed by those processing units and also generates a result display image containing the event information.
In an information analyzer equipped with
When there are multiple event information that has the same event occurrence position and event content in the same time zone, it is configured to perform information aggregation processing that aggregates those event information.
In the result display image, the event information is displayed on a map, the event information is displayed in a display mode different for each type, and the aggregated event information is displayed as one event information. In the result display image, a sub-window is further displayed, and a plurality of information related to each of the plurality of events to be displayed on the map is displayed in one sub-window .
A real-time display mode for displaying the event information in real time and a period-designated display mode for displaying the event information within a predetermined designated period can be selected.
Information analyzer. The information analysis apparatus according to claim 1, further comprising a dynamic display mode in which event information within the designated period is dynamically displayed sequentially with the passage of time with respect to the result display image. The information analysis apparatus according to claim 1 or 2, wherein the type of the map can be changed in the result display image. In addition, it has a public information processing department that collects and analyzes public information.
The analysis processing unit also uses the information analyzed by the public information processing unit to generate event information.
The information analyzer according to any one of claims 1 to 3. Information analysis including an analysis processing unit that generates event information based on at least one of posted information on social media, user posted information from a specific user, and public information, and displays the event information on a result display image. In the device
When there are multiple event information that has the same event occurrence position and event content in the same time zone, it is configured to perform information aggregation processing that aggregates those event information.
In the result display image, the event information is displayed on a map, the event information is displayed in a display mode different for each type, and the aggregated event information is displayed as one event information. In the result display image, a sub-window is further displayed, and a plurality of information related to each of the plurality of events to be displayed on the map is displayed in one sub-window .
A real-time display mode for displaying the event information in real time and a period-designated display mode for displaying the event information within a predetermined designated period can be selected.
Information analyzer. Steps to collect and analyze information posted on social media,
Steps to collect and analyze user posted information from specific users,
A step of generating event information using the information analyzed in those steps and a step of generating a result display image including the event information, and
When there are multiple event information that has the same event occurrence position and event content in the same time zone, the step of performing information aggregation processing that aggregates those event information, and
Each of the above steps is performed by a computer.
In the result display image, the event information is displayed on a map, the event information is displayed in a display mode different for each type, and the aggregated event information is displayed as one event information. In the result display image, a sub-window is further displayed, and a plurality of information related to each of the plurality of events to be displayed on the map is displayed in one sub-window .
A real-time display mode for displaying the event information in real time and a period-designated display mode for displaying the event information within a predetermined designated period can be selected.
Information analysis method. The information analysis method according to claim 6, further comprising a dynamic display mode in which event information within the designated period is dynamically displayed sequentially with the passage of time with respect to the result display image. Information obtained by collecting and analyzing information posted on social media and information obtained by collecting and analyzing user posted information from a specific user are used to generate event information and the event concerned. Steps to generate a result display image containing information,
When there are multiple event information that has the same event occurrence position and event content in the same time zone, the step of performing information aggregation processing that aggregates those event information, and
Is an information analysis program that causes a computer to execute
In the result display image, the event information is displayed on a map, the event information is displayed in a display mode different for each type, and the aggregated event information is displayed as one event information. In the result display image, a sub-window is further displayed, and a plurality of information related to each of the plurality of events to be displayed on the map is displayed in one sub-window .
A real-time display mode for displaying the event information in real time and a period-designated display mode for displaying the event information within a predetermined designated period can be selected.
Information analysis program. In the result display image, a plurality of information related to a plurality of events to be displayed on the map are displayed in the sub-window in conjunction with scrolling, enlargement, and reduction of the map screen. The information analyzer according to any one of 5 to 5.

Images