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Microblog event evolution analysis method based on feature word co-occurrence graph

An event evolution and analysis method technology, applied in the field of microblog event evolution analysis based on feature word co-occurrence graph, can solve the problems of uncertain development time, inability to unify time window size, filtering out microblogs, etc., and achieve rapid and accurate obtained effect

Inactive Publication Date: 2019-11-01
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Traditional sub-event detection algorithms are based on time windows, but the end of one sub-event topic and the beginning of another sub-event topic will contain microblogs of both stages, so this algorithm may lead to some important and general Weibo is filtered out
In addition, the development duration of each sub-event stage is uncertain, so the size of the time window cannot be unified

Method used

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  • Microblog event evolution analysis method based on feature word co-occurrence graph
  • Microblog event evolution analysis method based on feature word co-occurrence graph
  • Microblog event evolution analysis method based on feature word co-occurrence graph

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Embodiment Construction

[0055] 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 in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] The main solution of the embodiment of the present invention is:

[0057] From the point of view of characteristic words, a characteristic word co-occurrence graph is constructed, and a microblog event evolution analysis method based on the characteristic word co-occurrence graph is proposed. Word clusters are clustered to complete sub-event detection and event evolution analysis.

[0058] Such as figure 1 As shown, a microblog event evolution analysis method based on the feature word co-occurrence graph, including the following steps:

[0059] S1. Perform data preprocessing on the origin...

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Abstract

The invention discloses a microblog event evolution analysis method based on a feature word co-occurrence graph. The method comprises the steps: carrying out the data preprocessing of an original event microblog set, and generating an event microblog word set; extracting feature words of the event microblog word set, and constructing a feature word co-occurrence graph based on a feature word co-occurrence relationship in the text; carrying out feature word community division on the feature word co-occurrence graph; and calculating the similarity between the microblogs and the feature words inthe community, and carrying out sub-event microblog clustering processing. According to the invention, a user can be helped to quickly and fully understand the evolution process of the whole popular event, so that interested information can be quickly and accurately obtained.

Description

technical field [0001] The invention belongs to the technical field of event detection, and in particular relates to a microblog event evolution analysis method based on a feature word co-occurrence graph. Background technique [0002] Many popular events, such as sports games or natural disasters, generate thousands of tweets per second related to the event on the Twitter platform. Therefore, how to extract event-related information from massive microblogs and display them in a concise and accurate form to users who want to track and understand the event is of great significance. [0003] The key technology of microblog event detection is Topic Detection and Tracking (TDT), which aims to automatically detect new topics from text data streams, and continuously track known topics to help users dig out information from massive amounts of information. The content of their own interest, thus solving the problem of information expansion in the network. The technique is mainly d...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F17/27
CPCG06F16/35
Inventor 于富财杨洪全蒋珊费高雷胡光岷
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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