期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：12
页码：4337-4342
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Twitter is a popular micro blogging service where users create status messages or small text-based Web posts called tweets. Twitter currently receives in excess of340 million tweets a day, in which people share their comments regarding a wide range of topics. A large number of tweets include opinions about numerous subjects. Analyzing these tweets to extract opinions or sentiments help us determine the popularity of the subjects. This paper talks about a sentiment analyzer engine that can be used to analyze tweets. Tweets retrieved real time are classified as to belonging to one of positive, negative or neutral category using pre classified tweets as training data. The paper discusses about Na.ve Bayes algorithm for imp lementing the sentiment analyzer engine. The Sentiment analyzer engine developed can give an approximate estimation of the success or popularity of a subject. The algorithm's efficiency is mainly dependent on the quality of the training data, for the training data chosen for this project we obtained an accuracy of close to 42% with precision and recall standing out at 45.65% and 67.74% respectively.
