杨 江1,侯 敏2,王 宁1. 基于浅层篇章结构的评论文倾向性分析[J]. 中文信息学报, 2011, 25(2): 83-89.
YANG Jiang1, HOU Min2, WANG Ning1. Sentiment Polarity Analysis of Reviews Based on Shallow Text Structure. , 2011, 25(2): 83-89.
Sentiment Polarity Analysis of Reviews Based on Shallow Text Structure
YANG Jiang1, HOU Min2, WANG Ning1
1. School of Literature, Communication University of China, Beijing 100024, China; 2. Broadcast Media Language Branch, Communication University of China, Beijing 100024, China
Abstract：We put forward an approach to recognizing sentiment polarity in Chinese reviews based on the shallow text structure that is represented by topic sentiment sentences. Considering the features of reviews, we identify the topic of a review using an n-gram matching approach. To extract topic sentiment sentences, we compute the semantic similarity of a candidate sentence and the ascertained topic, and meanwhile determine whether the sentence is subjective. A certain number of these sentences are selected as representatives according to their semantic similarity value with relation to the topic. The average value of the representative topic sentiment sentences is calculated and regarded as the sentiment polarity of a review. Experiment result shows that the proposed method is feasible and can achieve relatively high precision. Key wordsshallow text structure; topic sentiment sentence; review; sentiment orientation analysis; sentiment
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2011, Vol. 25 
