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Design and Implementation of ProductAffective Tendency Analysis System Based on User Comments

机译：基于用户评论的产品情感倾向分析系统的设计与实现

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Web2.0时代，用户不仅仅是网络内容的消费者，也同时是互联网内容的生产者。网络上产生了大量的用户评价信息，这些评价信息不仅能给消费者提供对商品的参考，而且能给生产者反馈产品信息，了解自己产品的不足并加以改进。大数据时代人工来做这些工作是不现实的。如何通过使用自然语言处理技术，从大量数据中自动提取出评价对象以及找到用户对某种产品所持有的情感倾向是当前研究的热点。本文以某电商网站上的某款冰箱产品为研究代表，研究了基于评论信息的评价对象抽取与情感倾向分析技术。本文主要内容和创新点如下： 1.利用网络爬虫技术与正则表达式方法完成了对某电商网站某款冰箱产品的用户评论半结构化数据的抓取； 2.利...

机译：Web2.0时代，用户不仅仅是网络内容的消费者，也同时是互联网内容的生产者。网络上产生了大量的用户评价信息，这些评价信息不仅能给消费者提供对商品的参考，而且能给生产者反馈产品信息，了解自己产品的不足并加以改进。大数据时代人工来做这些工作是不现实的。如何通过使用自然语言处理技术，从大量数据中自动提取出评价对象以及找到用户对某种产品所持有的情感倾向是当前研究的热点。本文以某电商网站上的某款冰箱产品为研究代表，研究了基于评论信息的评价对象抽取与情感倾向分析技术。本文主要内容和创新点如下： 1.利用网络爬虫技术与正则表达式方法完成了对某电商网站某款冰箱产品的用户评论半结构化数据的抓取； 2.利...

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Design and Implementation of ProductAffective Tendency Analysis System Based on User Comments

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