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Image evaluation algorithm based on microblog sentiment analysis

A sentiment analysis and sentiment score technology, applied in computing, text database clustering/classification, other database retrieval, etc., can solve the problem of quantifying the overall change of corporate image without

Inactive Publication Date: 2017-01-04
GUANGDONG POWER GRID CO LTD INFORMATION CENT
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] At present, the use of online speech is mainly focused on complaint handling, without quantifying the overall changes in corporate image caused by these online speeches

Method used

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Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0028] Research methods and algorithms:

[0029] The main goal is to build a corporate image evaluation based on customer Weibo comments. The main steps are: 1) Collect Weibo customer information; 2) Build a grid-related Weibo keyword library; 3) Calculate Weibo sentiment scores and judge Weibo comments sentiment Tendency type; 4) Divide microblog speech types, correlate and match enterprise service events; 5) Calculate enterprise image score.

[0030] 1) Weibo customer information collection:

[0031] The automatic capture of data is realized by simulating manual search and browsing through computer crawler programs. All the captured data is the information disclosed by Weibo bloggers and does not involve private information. The microblog customer information collected by this patent mainly includes user identity, microblog content and user behavior information. Among them, user identity information includes user name, user industry, user gender, account category, Weibo co...

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Abstract

The invention relates to an image evaluation algorithm based on microblog sentiment analysis. The algorithm includes the following steps that microblog client information is collected; secondly, relative microblog keyword database is constructed; thirdly, a microblog sentiment score is calculated, and microblog comment sentiment tendency types are judged; fourthly, microblog comment types are divided and related and matched with enterprise service events; fifthly, an image core is calculated. Microblog comments, related to a power grid, of users serve as research objects, the method combining the text mining technology and sentiment analysis is adopted, the enterprise image scorning algorithm based on microblog sentiment analysis is built, and a strong technical means is provided for power supply enterprises to judge images and take pertinent measures.

Description

technical field [0001] The invention relates to an image evaluation algorithm based on microblog sentiment analysis, belonging to the technical field of computer applications. Background technique [0002] Social networking sites have fast information feedback capabilities, forming a huge influence on public opinion, and online speech reflects the social recognition of an enterprise to a certain extent. How to judge corporate image by identifying and analyzing massive customer comments on social networking sites has become an important challenge and opportunity for companies to improve their own image in the context of the Internet age. [0003] At this stage, the use of online speech is mainly focused on complaints, but there is no quantification of the overall changes in corporate image caused by these online speeches. This patent proposes a corporate image evaluation algorithm based on microblog sentiment analysis, which calculates the corporate image score within a peri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/35G06F16/951G06F40/289
Inventor 江疆黄剑文吴广财彭泽武杨秋勇冯歆尧
Owner GUANGDONG POWER GRID CO LTD INFORMATION CENT
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