面向文本情感分析的商品评价信息检测  

Text sentiment analysis-oriented commodity review detection

作　　者：庞海杰[1] 

机构地区：[1]青岛滨海学院理科基础学院,山东青岛266555

出　　处：《计算机应用》2012年第7期2038-2040,2077,共4页journal of Computer Applications

摘　　要：为及时有效地获取商品评价信息,提出了基于评价对象识别的商品评价信息检测方法。首先在中文分词的基础上,依据词性标注结果抽取商品评价信息中的候选评价对象;然后基于规则过滤和共现扩展的方法得到精准评价对象;最后实现了基于评价对象识别的商品评价信息检测方法。实验结果表明,与基本模型相比,提出的商品评价信息检测方法的F-Measure提高了34.8%,证明了充分挖掘商品评价信息中的评价对象可以非常有效地改善检测方法的性能。To help sellers timely and effectively get the commodity reviews,the author proposed a commodity review detection method based on the key word extraction.Based on the Chinese word segmentation,this method firstly extracted the candidate Key words based on part of speech tagging,and then filtered out noises based on the rules.The paper extracted the dynamic co-occurrence of the commodity reviews,and extended the Key words based on these dynamic co-occurrences.Finally the commodity review detection method based on the keyword was realized.The experimental results show that,compared to the basic model,the proposed method can increase the F-Measure by 34.8%,which proves that efficient key word extraction is very useful to the commodity review detection.

关 键 词：情感分析 话题检测 评价对象 共现 商品评价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]