International Journal of Applied Engineering Research ISSN 0973-4562 Volume 9, Number 22 (2014) pp. 13925-13936 © Research India Publications http://www.ripublication.com Paper Code: 28060 - IJAER Sentiment Analysis of Twitter Data Set: Survey Shailendra Kumar Singh 1 , Dr. Sanchita Paul 2 , Dhananjay Kumar 3 , Hanifa Arfi 4 Department of Computer Science & Engineering Birla Institute Technology, Mesra Ranchi, India (835215) sks.it2012@gmail.com 1 , sanchita07@gmail.com 2 , dhananjay.sharma48@gmail.com 3 , hanifaarfi@gmail.com 4 Abstract The growth of social website, microblogging services and electronic media contributes vast amount of user generated contents such as customer reviews, comments and opinions. Twitter is a most popular microblogging service. Sentiment Analysis term is referred to the extraction of others (speaker or writer) opinion in given source material (text) by using NLP, Linguistic Computation and Text mining. Sentiment analysis is emerged as the broad range of domains such as natural language processing, computational linguistics and text mining. Sentiment classification of product reviews, service reviews and comments has emerged as the most useful application in the area of sentiment analysis. This paper focuses on the comparative study of different sentiment classification techniques, performed on twitter data set. The most popular approaches are Bag of words and feature extraction used by researchers to deal with sentiment analysis of opinion related to social issues, movies, electronics, cars, music etc. The sentiment analysis is used by manufacturers, politicians, news groups, and some organization to know the opinions of customer, people, and social website users. KEYWORDS: Opinion, Sentiment Analysis, Sentiment Classification, Sentiment Classification Techniques, Twitter data set, Social Issues. I. INTRODUCTION In this scientific era, internet provides huge volume of information. Most of the people share information or their opinion over internet. So, any information can access from any place in the world due to the availability of internet facilities over the