Author : S.Siddharth 1
Date of Publication :22nd February 2018
Abstract: With the rise of social networking epoch and its growth, Internet has become a promising platform for online learning, exchanging ideas and sharing opinions. Social media contains a huge amount of the sentiment data in the form of tweets, blogs, and updates on the status, posts, etc. In this paper, the most popular microblogging platform Twitter is used. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to extract user’s opinions and sentiments. The main goal is to explore how text analysis techniques can be used to dig into some of the data in a series of posts focusing on different trends of tweets languages, tweets volumes on twitter. Experimental evaluations show that the proposed machine learning classifiers are efficient and perform better in terms of accuracy and time. The proposed algorithm is implemented in python.
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