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Network society influence maximization algorithm based on microblog text affective computing

A technology of emotional computing and social influence, which is applied in computing, network data retrieval, network data indexing, etc., can solve the problem of not fully considering emotional information, forwarding relationship trees that cannot fully reflect community relationships, and not being able to maximize influence. Groups and other issues, to achieve the effects of statistical science of emotional tendency, accurate analysis of emotional tendency, and accurate calculation of network emotional impact maximization

Inactive Publication Date: 2014-01-22
GUANGXI TEACHERS EDUCATION UNIV
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AI Technical Summary

Problems solved by technology

[0006] 2) The emotional information contained in user-posted content is not fully considered in the network influence maximization calculation
Therefore, the forwarding relationship tree cannot fully reflect the relationship of the community, and thus cannot well represent the group with the greatest influence

Method used

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  • Network society influence maximization algorithm based on microblog text affective computing
  • Network society influence maximization algorithm based on microblog text affective computing
  • Network society influence maximization algorithm based on microblog text affective computing

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] The implementation of the network social influence maximization algorithm based on microblog text emotional calculation in the present invention is as follows: figure 2 As shown, it mainly includes 4 parts. Wherein the network community emotion maximization analyzer is implemented according to the prior art scheme, and the present invention only involves other three modules: a microblog special dictionary constructor, a microblog emotion tendency analyzer and a network community structure analyzer. The specific description of each module is as follows:

[0038] (1) Weibo Special Dictionary Constructor: The flowchart of the Weibo Special Dictionary Constructor is attached image 3 As shown, the specific operation is as follows: Use the network search tool to collect microblog texts in various communities on the network as a microblog text corpus. Process the ...

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Abstract

The invention discloses a network society influence maximization algorithm based on microblog text affective computing, and mainly relates to the field of text affective computing, network society calculation and influence maximization, in particular to a microblog emotional tendency calculation method and a network community relation structure extraction method. Firstly, a special microblog dictionary is constructed according to anagrams, neologisms and new meanings (such as 'watch man') appearing in microblogs. The emotional tendency of microblog texts is analyzed according to a HowNet dictionary. Then, a network community user relationship tree is constructed according to the interaction operation relationship of various users. Finally, network design emotional influence maximization calculation is carried out according to the emotional tendency of the microblog texts and the network community user relationship tree. The problems that the user relationship in a network community structure is single, and maximization influence problem calculation is incomplete are solved, and the microblog emotional tendency can be calculated more accurately, and a network emotional influence maximization user set meeting reality better can be obtained.

Description

technical field [0001] The invention relates to the fields of text emotion computing, network social computing and influence maximization, in particular to a network social influence maximization algorithm based on microblog text emotion computing. Background technique [0002] The network influence maximization calculation can find out the most influential members in the network, provide them with information or commercial samples, and hope to achieve the purpose of dissemination or marketing to other members in the network with the help of their recommendations. With the emergence and popularity of WEB2.0, the number of members of many large online social networking sites has also risen sharply, which makes the traditional research on influence maximization algorithms and communication models face huge challenges. Influence maximization algorithms in social networks have once again become Research hotspots. [0003] The current research methods in this field are mainly 1)...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/951G06F40/247
Inventor 覃晓元昌安唐涛元建
Owner GUANGXI TEACHERS EDUCATION UNIV
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