SENTIMENT ANALYSIS ON TWITTER DATA USING MACHINE LEARNING TECHNQUES

Abstract

Twitter is the popular micro blogging site where thousands of people exchange their thoughts daily in the form of tweets. The characteristics of tweet is to be short and simple way of expressions. though this thesis will focus on sentiment analysis of twitter data. The research area of sentiment analysis are text data mining and NLP. By using different supervised machine learning techniques we will perform the sentiment analysis on twitter data. However we will focus on techniques and types of sentiment analysis where we will perform how to extract tweets from twitter. Further we will compare different machine learning techniques on the same dataset and also find some standard measures.