Research on Sentiment Tendency Analysis of Microtext Based on Sense Group

A new way to determine the sentiment tendency of Chinese micro text based on the partitioned Sense Group (STDSG) is proposed, which considers various factors which contain negations, degree adverbs and punctuations.

Abstract

With the development of internet in China, Miccroblogging provides a new platform for communicating and sharing information among Web users. Users can express opinions and record daily life using microblogs. Microblogs that are posted by users indicate their interests to some extent. But it seems very hard to analyze the sentiment hided in Chinese Micro text because of its complexity. This paper proposes a new way to determine the sentiment tendency of Chinese micro text based on the partitioned Sense Group (STDSG). When to judge the sentiment tendency of Micro text, we first partition it into separate sense group, and then determine it's sentiment tendency based on Emotional Dictionary. And We aslo consider various factors which contain negations, degree adverbs and punctuations. The effectiveness of STDSG is strongly supported by the results of our experiments.