P Subbaraju - Department of IT, SRKREC, Bhimavaram, A.P, India,
K. Chandra Sekhar - ۱. Department of IT, SRKREC, Bhimavaram, A.P, India
P.R.S.S.V. Raju - ۱. Department of IT, SRKREC, Bhimavaram, A.P, India
K. Satyanarayana Raju - ۱. Department of IT, SRKREC, Bhimavaram, A.P, India
M. K. S. Varma - ۱. Department of IT, SRKREC, Bhimavaram, A.P, India

Nowadays, data are the food for the digital world. The main rich sources for data generated by social networks such as Twitter, Face book, Instagram, and LinkedIn. The data generated from micro-blogging services are plays a vital role in business intelligence like product reviews, movie reviews, election results prediction by social media data analysis. Sentiment analysis (SA) is the key method of predicting netizens emotions behind the text expressed in social media. The main motto of this survey to give complete idea about tools and the techniques used in Sentiment Analysis and the relevant fields with brief details.

Business Intelligence, Data Generation, Sentiment Analysis, Social Media Data Analysis