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Method for detecting microblog emergencies

A technology for emergencies and detection methods, which is used in network data retrieval, other database retrieval, digital data information retrieval, etc.

Inactive Publication Date: 2019-12-06
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can detect hotspot emergencies that are not prominent in the microblog text of the whole network, but occur in a certain local area

Method used

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  • Method for detecting microblog emergencies
  • Method for detecting microblog emergencies
  • Method for detecting microblog emergencies

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0133] An application example of the method of the present invention will be provided below.

[0134]Use Sina API to crawl Weibo data from March 10 to March 29, 2018, and retain 450,799 Weibo texts for experiments after relevant preprocessing. In order to remove noise data, the present embodiment adopts the following methods for denoising: (1) delete microblog texts with less than 5 characters or texts with repeated letters, repeated Chinese characters, and repeated symbols; (2) delete microblogs The non-text information of blogs, such as: URL links, emoticons, special characters, etc.; (3) Construct a user word list and stop word list for Weibo text, and perform word segmentation and stop word processing on the text based on the NLPIR word segmentation system. Word removal. Examples of processed Weibo data such as image 3 Its storage structure is shown in Table 1.

[0135] Table 1 Weibo data storage structure

[0136] serial number Field Name Field Type d...

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Abstract

The invention discloses a method for detecting microblog emergencies. The method comprises the following steps: 1, carrying out time division on microblog data subjected to noise removal and word segmentation processing to obtain a microblog data set corresponding to a time window; 2, calculating a burst word judgment weight Wk (w) of each word w in all the microblogs contained in each time window, and taking words of which the Wk (w) is greater than a burst word threshold value as burst words, thereby obtaining a burst word set of each time window; and 3, based on the coupling degree of everytwo burst words in the burst word set, clustering the burst words in the burst word set by utilizing a clustering algorithm, and detecting an emergency of the time window based on a clustering result. Compared with an existing method, the microblog emergency detection method based on the emergency feature words has the advantages that the accuracy and the F value are greatly improved, that is, the detection result is more accurate.

Description

technical field [0001] The invention relates to the field of public opinion situation awareness of data mining, in particular to a method for detecting microblog emergencies. Background technique [0002] With the emergence and rapid development of Internet media, distributed social media like Weibo, which focuses on the interaction between users, has made the dissemination of information faster and wider, and the interactivity has also been greatly enhanced. In particular, the dissemination of emergency information will show exponential growth in a short period of time. In order to detect sudden social events in time and carry out reasonable control, it is necessary to detect emergencies in a timely and accurate manner in the massive microblog dynamic data. [0003] In recent years, relevant scholars at home and abroad have invested a lot of research in the field of emergency detection in online social media. The current core problem and difficulty is how to quickly and ac...

Claims

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Application Information

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IPC IPC(8): G06F16/951G06F16/953G06F16/9535G06F16/35G06F16/33
Inventor 张仰森段宇翔段瑞雪黄改娟
Owner BEIJING INFORMATION SCI & TECH UNIV