文章基本信息

标题：Gathering and Analyzing the Customers Sentimental Data from Twitter
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作者：Bhimaraj Badakundri ; SURESH L ; CHANDRAKANT NAIKODI 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：8139
DOI：10.15680/IJIRCCE.2016.0404329
出版社：S&S Publications
摘要：For opinion mining and sentiment analysis micro blogging web sites are very rich resource. In recent years these web sites become very much interesting and popular communication tool among millions of internet users. There has been a surge of user generated information along with the rise of social networking era. In sites like twitter, facebook and instagram etc, billions of people will share their opinion and thoughts daily because of its extra features, characteristics and also short and simple manner of expression. There is a scope for a large way in a social media and micro blogging websites as exploring the challenges offered by informal and micro blogging sites. In this paper we proposed an architecture that aims at developing a standard model for gathering and analyzing the customers sentimental data from social media, in this we are considering Twitter social network. Twitter currently receives about 190 million tweets a day so it will be useful for us to analyze the sentiment of users. In this paper we are capturing the tweets corresponding to the attributes of a product and voice of the user/customer is separated according to the particular attributes based on attributes list.
关键词：Customers sentimental data; Twitter social networkand twitter