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Using NLP Approach for Opinion Types Classifier

机译:使用NLP方法进行意见类型分类器

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—Information that are represented as text are either facts or opinions, whenever we need to make a decision, we often seek out the opinions of others which is one of the most influencing factors for our decisions. Traditionally, individuals can get opinions from friends and family while organizations use surveys, focus groups, opinion polls and consultants. Nowadays, opinions expressed through user generated content are considered as one of the important types of information which is available on the web, therefore, many resources have been emerged for expressing opinions including social media and others. This situation has revealed the necessity for robust, flexible Information Extraction (IE) systems, these systems have the availability to transform the web pages into program-friendly structures such as a relational database to reveal these opinions.
机译:- 作为文本表示的信息是事实或意见,每当我们需要做出决定时,我们经常寻求其他人的意见,这是我们决定的最具影响因素之一。传统上,个人可以从朋友和家人那里获得意见,而组织使用调查,焦点小组,民意调查和顾问。如今,通过用户生成的内容表达的意见被认为是网络上可用的重要类型的信息之一,因此,对于表达包括社交媒体和其他人的意见,已经出现了许多资源。这种情况揭示了强大,灵活的信息提取(IE)系统的必要性,这些系统具有可用性将网页转换为诸如关系数据库的程序友好结构,以揭示这些意见。

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