Author : Aanshi Desai, Haranshvir Gujral and Sindhu Nair

Twitter is a social media platform where users post their views of everyday life. Every tweet has a sentiment hidden behind it. Our aim is to use this data which is present in abundance and to make strategic decisions from it. The objective of this paper is to compare the earlier methods: Turney’s approach and Pang’s approach, study the ongoing technique i.e. NLP, and discuss the various issues and challenges faced while performing sentiment analysis and mining the data obtained from Twitter.

Keywords: Social media, Twitter, Tweets, Sentiment Analysis, Mining.

Article published in International Journal of Current Engineering and Technology, Vol.4, No.5 (Oct-2014)