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Method and device for visualization of dynamic opinion evolution of social media events

A media and social technology, applied in the field of viewpoint analysis and visualization of various information flows, which can solve the problems of emotional changes over time and changing trends that cannot be displayed in events

Active Publication Date: 2016-12-28
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

However, most of these visualization methods are based on pie charts or histograms, etc., and cannot show the emotional changes and trends of events over time.

Method used

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  • Method and device for visualization of dynamic opinion evolution of social media events
  • Method and device for visualization of dynamic opinion evolution of social media events
  • Method and device for visualization of dynamic opinion evolution of social media events

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0047]In one embodiment of the present invention, a visualization method for dynamic opinion evolution of social media events is provided, which can intuitively display the emotional changes of events in information streams, including the intensity and evolution of emotions. Among them, social media events are actually information such as tweets or microblogs in continuous time streams on different event topics on platforms such as Twitter or Weibo. The method mainly includes the following steps: Step 1) Sentiment classification of information in the collected social media event inform...

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Abstract

The invention provides a visual method for the dynamic view evolution of a social media event. The method comprises the following steps: the emotional membership degree and emotional classification of information in the collection of collected social media event information is determined firstly; then the geometrical layout of an emotional visual graph is built based on the emotional classification of the information, and the built geometrical layout is colored based on the emotional membership degree of the information. The method can intuitively display the emotional change of the event in an information stream, can display more emotional information in the aspects of the change and development of the invent, can help a user recognize the turning point and the bursting point of the event better, and predicts the development trend of the event.

Description

technical field [0001] The invention belongs to the field of Internet information mining and analysis, and in particular relates to viewpoint analysis and visualization methods of various information flows with social media events as the main line. Background technique [0002] With the rapid development of web2.0 technology, more and more people can express their opinions and thoughts on the development of events and topics through Twitter, Weibo and other platforms. Emotional content reflects the development of events and people's reactions, and can see the development trend of events. Sentiment analysis plays a very important role in this analysis process. Sentiment analysis includes sentiment classification, opinion extraction and opinion mining, score prediction and other parts. The results of sentiment analysis are usually shown to users in the form of graphs, but they cannot help users better understand the development process of the event unless the user reads a la...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 程学旗刘盛华朱亚涛王元卓刘悦朱文君
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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