使用斯坦福NLP的Twitter情感分类

Shital Anil Phand, Jeevan Anil Phand
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引用次数: 17

摘要

Twitter是一个微博网站,用户评论或推文他们的方法,即对服务提供商Twitter页面的意见,这是有用的分析它的情绪。分析意味着找到用户或客户的方法,其中它是积极的,消极的,中立的,或介于积极中立或消极中立之间,并表示它。在这样的系统或工具中,推文是从twitter上获取的,关于购物网站,或任何其他twitter页面,如一些商业,移动品牌,服装品牌,现场活动,如体育比赛,选举等。这些结果将有助于服务提供商了解客户对其产品的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twitter sentiment classification using stanford NLP
Twitter is a micro blogging site where users review or tweet their approach i.e., opinion towards the service providers twitter page in words and it is useful to analyze the sentiments from it. Analyze means finding approach of users or customers where it is positive, negative, neutral, or in between positive-neutral or in between negative-neutral and represent it. In such a system or tool tweets are fetch from twitter regarding shopping websites, or any other twitter pages like some business, mobile brands, cloth brands, live events like sport match, election etc. get the polarity of it. These results will help the service provider to find out about the customers view toward their products.
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