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Public opinion hotspot tracking and prediction method and apparatus based on community division and entropy

A technology of community division and forecasting method, which is applied in forecasting, special data processing applications, instruments, etc., and can solve the problem of difficult accurate classification of classification algorithms, uneven distribution of different types of data, inability to achieve accurate and real-time tracking and prediction of public opinion hotspots, etc. problem, to achieve the effect of reducing the processing of a large amount of redundant data

Inactive Publication Date: 2017-11-07
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

[0006] However, when faced with a large amount of social network public opinion data, traditional methods are no longer applicable. When dealing with massive short text data, due to the huge amount of data, the distribution of different types of data is also very uneven, and it is difficult for classification algorithms to accurately classify Center results, and the speed is very slow, unable to achieve accurate and real-time tracking and prediction of public opinion hotspots

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  • Public opinion hotspot tracking and prediction method and apparatus based on community division and entropy
  • Public opinion hotspot tracking and prediction method and apparatus based on community division and entropy
  • Public opinion hotspot tracking and prediction method and apparatus based on community division and entropy

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Embodiment 1

[0037] The basis of this embodiment is to collect the latest TOP public opinion hotspots in advance, and use a web crawler to crawl the text data of the Sina Weibo network home page containing 10,000 user nodes.

[0038] The public opinion hotspot keywords that each user pays attention to are different. First, TOP keyword matching is performed on the Weibo text data of 10,000 user nodes to generate a user-keyword matrix A, where A i =[010100001111...0011], indicating that user i pays attention to the TOP keyword, 1 indicates that the user pays attention to this keyword, 0 indicates that the user does not pay attention to it, and A i matrix times A j the transpose of a matrix, T ij =A i *A j T , where T ij is the number of the same keyword between users i and j, as the similarity distance between users, connect nodes with the same keyword, and use the similarity distance as the weight to build a similar relationship network N={V,{E }}; Analyze the similarity network and calc...

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Abstract

The embodiment of the invention provides a public opinion hotspot tracking and prediction method based on community division and keywords information entropy calculation. The method includes the steps of constructing a similar relation network according to users concerned public opinion hotspots, analyzing the network characteristics, conducting community division for the similar relation network, analyzing the node characteristics in a community, obtaining the Hub nodes of each community, focusing and obtaining Hub node network homepage on a real-time basis, and conducting word information entropy calculating and analyzing for the obtained real-time text data, to realize tracking and prediction of public opinion hotspots. The embodiment of the invention further provides a public opinion hotspot tracking and prediction apparatus. Mass redundant social network data processing can be reduced, accurate public opinion hotspot tracking and timely prediction of subsequent hot spots can be realized to provide support for real-time public opinion early warning and deciding.

Description

technical field [0001] The present invention relates to a public opinion hotspot tracking and prediction method based on community division and entropy, in particular to a public opinion hotspot tracking and prediction method and device based on community division and entropy. Background technique [0002] With the popularity of social networks, people can obtain information and express opinions anytime and anywhere. Because of the convenience and real-time nature of social networks, it has become the main platform for public opinion on the Internet. With the massive increase of social network users, social networks have accumulated and formed social big data, which contains massive public opinion data. Public opinion analysis can help the government and relevant units understand public opinion in a timely manner, reflect social information, control and guide the correct development of public opinion, and is crucial to social stability and national development. How to quic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/00G06F17/30
CPCG06Q10/04G06Q50/01G06F16/9535
Inventor 刘昕王丰曹帅王奕文邹苹钧
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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