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Searching Blog Sites with Product Reviews

机译:搜索带有产品评论的博客网站

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Recently, buzz marketing sites gives the information that is useful for consumers and companies. They want to customer feedbacks of feeling and experience. However, the searched results contain huge numbers of commercial sites when user search review with traditional search engine. We search blog site that include review sentence. We need to decision whether document of blog site include review sentence. Thus we think that two process to decide blog site whether review blog site. The first process creates to data set for certain product that viewpoint feature word. In this paper, feature word is tow term in the evaluated perspective word and evaluated value word. Data set is information for making decision sentence whether review sentence. Second process is a search for review sentence. This process decided blog site whether review blog site. This process use extracted opinion tuples from one sentence of blog site document and created data set to decide sentence whether sentence is review sentence. This process decided review blog whether document of blog site include one and more review sentence. We proposed review blog site searching system that system have two process.
机译:最近,嗡嗡声营销网站提供了对消费者和公司有用的信息。他们想向客户反馈感觉和体验。但是,当用户使用传统搜索引擎进行搜索时,搜索结果包含大量商业站点。我们搜索包括评论句子的博客网站。我们需要决定博客站点的文件是否包含评论语句。因此认为决定博客网站是否审查博客网站的两个过程。第一个过程是为某些产品的数据集创建视点特征词。在本文中,特征词是被评估视角词和被评估价值词中的两个术语。数据集是用于判定是否为复述语句的信息。第二个过程是搜索复句。这个过程决定了博客站点是否审查博客站点。此过程使用从博客站点文档的一个句子中提取的意见元组并创建数据集来确定句子是否为复习句子。该过程决定了评论博客,博客站点的文档是否包含一个或多个评论语句。我们提出了具有两个过程的评论博客站点搜索系统。

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