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Analysis and prediction system for cooperative correlative tracking and global situation of network social events

A forecasting system and social technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as lack of process and framework system, and achieve the goal of improving tracking accuracy, facilitating understanding, and analyzing and predicting public opinion. Effect

Inactive Publication Date: 2013-12-18
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0006] The existing research on tracking and forecasting methods for social network events is still in its infancy, and there is no complete process and framework system so far

Method used

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  • Analysis and prediction system for cooperative correlative tracking and global situation of network social events
  • Analysis and prediction system for cooperative correlative tracking and global situation of network social events
  • Analysis and prediction system for cooperative correlative tracking and global situation of network social events

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0024] Such as Figure 1a and Figure 1b Shown is the complete framework system of the present invention oriented to the collaborative tracking and forecasting system of network social events. The present invention realizes the collaborative tracking and overall situation analysis and prediction of network social events of multimedia information, and obtains a complete picture of each social event from the beginning to the end. describe. In this way, the entire event process can be visualized and displayed over time, and displayed to users in a clear and graphical interface, so that users can quickly know the development and evolution process of the entire event, and can mine the semantic theme of each event. Knowing the...

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Abstract

The invention relates to an analysis and prediction system for cooperative correlative tracking and global situation of network social events. The system comprises an information fusion unit, a tracking unit, and an analysis and prediction unit. The information fusion unit is used for fusing multimodal features of network social event data to obtain fused information of the multimodal data of social events, thus establishing a semantic description model for the multimodal data of cross-social events. The tracking unit is connected with the information fusion unit and is used for acquiring sematic correlative tracking data of the social events on each aspect according to cross-modal property, cross-platform property and trans-time-and-space property of the network social events in face of network contents including rich multimedia information on the basis of the semantic description model for the multimodal data of the cross-social events. The analysis and prediction unit connected with the tracking unit is used for acquiring social-event-based global situation analysis and prediction data on the basis of the semantic correlative tracking data.

Description

technical field [0001] The invention belongs to the technical field of association tracking and prediction of network social events, and relates to a collaborative association tracking and overall situation analysis and prediction framework system of network social events. Background technique [0002] With the rapid popularization of the Internet, the Internet has become an indispensable tool in most people's lives. The number of Internet users is growing rapidly and has gradually become a huge group. According to the statistical report on the development of the Internet in China, as of the end of December 2012, the number of Chinese web pages was 122.7 billion, an increase of 41.7% over the same period in 2011. The above statistics show that we already live in a massive amount of network data. We not only need to store these network data reasonably, but also need to study how to deal with the massive data in the network, so as to obtain the potentially useful information ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 徐常胜张天柱
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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