关键词: 微博, 新词挖掘, 规则集, 情感分析

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 information 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 implement 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.

Key words: micro-blog, new word mining, rule set, sentiment analysis