Semantic analysis and opinion mining on Chinese review sentences
汉语句子语义极性分析和观点抽取方法的研究

By using natural language management technology, Chinese Web review sentences were semantic studied and opinion mined. A new algorithm for computing the contextual polarity of polar words was proposed, and a framework was introduced for topic identification and feature extraction. The framework provided an innovative solution for the association of extracted opinion to its specific topic. The experiment results show that the algorithm is both reasonable and effective compared with the results of manual annotation.