Sentiment Analysis of Chinese Microblog Based on Expand-dictionary and Semantic Rule

doi:10.3969/j.issn.1006-2475.2018.02.019

Abstract

Abstract: Firstly this paper focuses on the occurrence rule of new words in microblog texts, finds microblogging new words through adverbs, then calculates the SO-PMI between the new words and the emotional benchmark words by optimized PMI algorithm, based on which the new words are divided into praiseful and derogatory categories and then been added to microblog domain dictionary. Secondly, basic emotional dictionary is constructed, considering the uniqueness of microblogging text and the characteristics of Chinese language, we construct microblogging expression dictionary, negative word dictionary, adverbs dictionary, conjunctions dictionary. Finally, combined with the emotional dictionary and semantic rules, we carry on an emotional analysis on Chinese microblogging by the means of emotional weighting with microblogging expressions. The validity of the proposed analysis strategy is verified by testing the microblogging data set.

Key words: microblog, sentiment analysis, emotion dictionary, semantic rule

CLC Number:

TP391

LI Ji-dong， WANG Yi-zhi. Sentiment Analysis of Chinese Microblog Based on Expand-dictionary and Semantic Rule[J]. Computer and Modernization, 2018, 0(02): 89-.

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