[1]ZHAO Wenqing,HOU Xiaoke,SHA Haihong.Application of semantic rules to sentiment analysis of microblog hot topics[J].CAAI Transactions on Intelligent Systems,2014,9(1):121-125.[doi:10.3969/j.issn.1673-4785.201208020]
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Application of semantic rules to sentiment analysis of microblog hot topics

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 1 Page number: 121-125 Column: 综述 Public date: 2014-02-25
Title:
Application of semantic rules to sentiment analysis of microblog hot topics
Author(s):
ZHAO Wenqing1;  HOU Xiaoke1;  SHA Haihong2
1. School of Control and Computer Engineering, North China Electric Power University(Baoding), Baoding 071003, China;
2. Inventec(Beijing) Electronics Technology Co., Ltd., Beijing 100086, China
Keywords:
microblog; hot topics; sentiment analysis; semantic rules; emotional dictionary
CLC:
TP391.1
DOI:
10.3969/j.issn.1673-4785.201208020
Abstract:
The research on the sentiment analysis for microblog hot topics has attracted much attention recently, while the studying method on the basis of supervision neglects the context of a word in the analysis of text. According to the characteristics of Chinese microblogs, a method based on semantic rules is proposed for sentiment analysis of microblog hot topics. As for the method, firstly, we need to manually sort out a degree adverb list, a negative word list and the appraisal category of the expression symbols defaulted in a microblog. Secondly, on the basis of the calculation of sentiment words, we consider the impact of negative words and degree words in the context of the emotional tendency and strength decorating sentiment words; in addition, we also set rules for calculating the influence of the expression symbol on the sentiment tendency judgment of a piece of microblog. Finally, our proposed method is compared with the method based on the emotional dictionary. The experimental results show that the proposed method improves the identification accuracy of the text sentiment tendency.
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