基于文本挖掘的中医文本情感分析

Sentiment Analysis of Chinese Medicine Text Based on Text Mining

对中医评论性文本进行情感分析具有重要的学术研究价值,是了解中医发展的社会认可情况、探索民众对中医的情感倾向的有效途径。研究基于文本挖掘的情感分析方法,改进了基于词典的中文分词方法,利用基于细粒度词汇权重的情感分析方法进行中医文本情感分析。以典型的中医评论文本为例,进行评论语句的识别解析和情感计算。通过与其它情感分析方法的比较,验证了基于细粒度词汇情感权重算法在中医文本情感分析中的有效性。

To carry on the sentiment analysis on Chinese medicine texts has an important academic research value and it is an effective way to acquire the social approbation and emotional tendency of the development of Chinese medi- cine. Sentiment analysis method based on text mining was studied. The word segmentation method based on dictionary was improved and the analysis method of fine - grained sentiment was used to study Chinese medicine texts. As a result, a typical comment was used to prove the effectiveness of this proposed method in the sentiment analysis of Chinese medi- cine text.