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Public opinion hotspot real-time acquisition method and acquisition device based on community division

A technology of real-time acquisition and community division, applied in instruments, data processing applications, computing, etc., can solve the classification and processing of unpublished web page information, the difficulty of redundant information processing overhead, and the inability to accurately identify different types of events. and other problems to achieve the effect of resisting data explosion, improving response speed, and reducing processing overhead.

Inactive Publication Date: 2015-12-23
CHINA UNIV OF PETROLEUM (EAST CHINA)
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AI Technical Summary

Problems solved by technology

The SOM neural network cannot accurately identify different types of events, and may confuse different hot events
[0006] Traditional Single-pass and K-means algorithms are widely used in the current big data clustering analysis, but these analyzes are basically based on the processing of social content published and interacted by users, and it is difficult to reduce redundant information on a large scale. Processing overhead, publishers of webpage information are not classified, and public opinion hot spots cannot be discovered and tracked through classified publishers

Method used

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  • Public opinion hotspot real-time acquisition method and acquisition device based on community division
  • Public opinion hotspot real-time acquisition method and acquisition device based on community division
  • Public opinion hotspot real-time acquisition method and acquisition device based on community division

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Embodiment 1

[0034] The basis of this embodiment is that the TOP1000 keywords are acquired in advance, and the TOP1000 keywords can satisfy the acquisition of current main public opinion hotspot information.

[0035] Different users have different interests and concerns. According to the content of the user's homepage, the keywords that the user actually cares about are selected from the TOP1000 keywords to form a user keyword vector. The keyword vector of node i, Vi=[010001100000100101000100010...011], where 1 indicates that the user node page has the keyword of interest, and 0 indicates that the user node is not interested in the keyword.

[0036] Taking users as nodes, if the two nodes have the same keyword, it is considered that there is an edge between the two points, and the keyword vectors of the two user nodes are used to calculate the similarity distance between the nodes as the weight of the edge between the two points , to build a user similarity graph. The two node keyword vec...

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Abstract

The embodiment of the invention provides a public opinion hotspot keyword acquisition method. A public opinion hotspot real-time acquisition method based on community division is characterized in that similarity community division is realized by constructing a user similarity relational graph, similarity user representatives are found, overhead for processing large amount of redundant information is reduced, and data explosion is avoided. The embodiment of the invention also provides a public opinion hotspot keyword acquisition device. By adopting the technical scheme provided by the embodiment of the invention, public opinion security incident can be responded in real time, and public opinion security incident response speed is improved.

Description

technical field [0001] The invention relates to a method for acquiring public opinion hotspot keywords, in particular to a method and an acquisition device for real-time acquisition of public opinion hotspots based on community division. Background technique [0002] With the continuous expansion of the scale of social networks, the accumulation of social network data has formed social big data. Under this environment, the study of social public opinion has become a research hotspot of the current government, enterprises and scientific research institutions. [0003] How to quickly analyze massive social network data in the big data environment, realize public opinion monitoring and tracking, and then provide decision support for managers is a hot and difficult point of current research. The current social public opinion analysis mainly focuses on the collection and storage of a large amount of network data, and combines text mining technology to obtain public opinion hotspo...

Claims

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Application Information

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IPC IPC(8): G06Q50/00
Inventor 刘昕李忠伟王奕文王丰
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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