中文在线评论中产品特征抽取研究

Research of Product Features Extraction Method in Chinese Online Comments

在线评论中特征抽取是产品意见挖掘的基础,直接影响到最终挖掘结果的准确性。针对现有特征抽取方法的准确率和召回率偏低问题,该文通过设计词性序列模板产生候选特征集,利用PMI-IR方法进行筛选,最终获得产品特征集。实验结果表明,该方法取得较好效果。

As a foundation of further analysis in in Chinese Online comments, features extraction influences the precision of the opinion mining results. Aiming at solving problems of relatively low precision, rate of coverage when using existing product features method, this paper designs part of speech sequence templates to obtain product features candidates, then utilizes PMI-IR method to filter product features candidates and obtain product features set. Experimental results show that this method is effective.