• Kajal Rathore
• Dr.Deepika Punj

Data Analysis is a key to grow any business these days. It helps in determining more informed business decisions by scientists, researchers to verify models theories and hypothesis. As social media is coming into picture these days which concludes huge corpus of data with reviews from every user in public platform as a result sentiment analysis gained importance. Sentiment analysis (also known as opinion mining) plays a major role in data analytics useful for business and at various government aspects. Sentiment analysis is related to mining of sentiments (i.e. tweets) from online data present on WWW and classifying the opinion indicated by author into three parts- Positive, Negative, and neutral. Unstructured data can be classified on twitter by sentiment analysis approach and then different techniques are carried out which are discussed in this paper.

Sentiment Analysis, Corpus

"A SURVEY PAPER ON SENTIMENT ANALYSIS APPROACHES ON TWEETS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.470-476, February-2019, Available :http://www.jetir.org/papers/JETIR1902264.pdf

"A SURVEY PAPER ON SENTIMENT ANALYSIS APPROACHES ON TWEETS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp470-476, February-2019, Available at : http://www.jetir.org/papers/JETIR1902264.pdf