计算机工程与应用Issue(8)：218-225,8.DOI:10.3778/j.issn.1002-8331.1308-0187
基于词典和规则集的中文微博情感分析
Sentiment analysis of Chinese micro blog based on lexicon and rule set
摘要
Abstract
This paper identifies the key points of Chinese micro-blog sentiment analysis:How to recognize the new words in micro-blog and comprehend their sentimental implication automatically? How to take advantage of additional informa-tion to assist text analysis? And how to construct a structure method based on micro-blog’s semantic characteristic? To solve the first problem, this paper utilizes a method using statistical information and point-wise mutual information to imple-ment new words mining and sentiment comprehension, and builds up a sentimental lexicon of new words from 40 million Sina micro-blogs to expand the existing resources. The sentiment analysis method introduced in the paper, based on rule set and lexicon, can cope with the rest questions. With rules defined on different semantic levels and optimized lexicon, micro-blog’s sentiment would be calculated on multi-granularity from words to sentences, adding emoticon information as auxiliary element of the total calculation. This method is conducted on original micro blogs of collected data base, and the result demonstrates its effectiveness.关键词
微博/新词挖掘/规则集/情感分析Key words
micro-blog/new word mining/rule set/sentiment analysis分类
信息技术与安全科学引用本文复制引用
王志涛,於志文,郭斌,路新江..基于词典和规则集的中文微博情感分析[J].计算机工程与应用,2015,(8):218-225,8.基金项目
国家重点基础研究发展计划（973）（No.2012CB316400）；国家自然科学基金（No.61222209，No.61103063）；教育部“新世纪优秀人才支持计划”（No.NCET-12-0466）；教育部高等学校博士学科点专项科研基金（博导类）（No.20126102110043）；陕西省自然科学基础研究计划项目（No.2012JQ8028）。 （）
