商品评价信息中文情感的分析——以华为手机评价数据为例

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1、万方数据通过更加人性化的产品设计来赢得顾客的青睐，从而获得行业竞争力。本文主要研究过程主要分为四个环节。首先，利用p”hon获取相关评论信息的抽样数据；然后，基于结巴分词算法对爬取的评论数据进行切句、分词、词性标注和哈工大LTP平台的依存句法分析等预处理工作；接着，探讨比较了基于词性标注与依存句法两类方法在特征词、情感词对抽取方面的优劣；最后，本文的创新点在于依据不同的评价句型，构建了多策略情感分析方法，同时在特征词的情感值计算方面给予初次评价与追加评价不一样的权重设置，并且对含否定词修饰的句式给予特别的处理。结果显示，目前“华为荣耀6”手机在电池耗电量、待机时长、手感、游

2、戏等特征方面需要加强改进，特别是电池和待机这两个特征，消费者的负面情感最为显著，生产者对此需要引起足够重视；在产品性价比、摄像头、像素等方面做的还不错，得到消费者的普遍认可。关键词：商品评论；网络爬虫；依存句法；情感分析II万方数据浙江工商大学硕士论文THEPRoDUCTREⅥEWSINFoRMATIoNoFCHINESESENTIMENTANAI』YSIS：TAl(INGTHEREVIEWSoFHUA聃甩IPHONEASANEXAMPLEABSTRACTWiththedevelopmentofIntemettechnoIogy，wearegraduallyentering

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