• K.Karpaga Priyaa
• V.Ashwini
• K.Gayathri
• S.Shweta

Social networking has become a very powerful communicative tool among internet users. Apart from communication millions of users share their opinion on everyday issues. Twitter, for instance, offers multiple mechanisms for digital communication, including drop-down commenting and scheduled support group discussion. The event based discussion on twitter can be analysed to find the opinion of people towards a particular event. Sentimental analysis can be performed on tweets to derive a conclusion about people’s opinion. The main problem in the existing approaches are, in the event based discussion, only static data is used for analysis of public emotions which results in incomplete analysis of an event . The dynamic live tweets are also equally important on live events like sports, election and so on. Thus the proposed systems uses dynamic unused raw data existing in twitter and produces the polarity of live comments using the classification algorithm. And also this paper takes into account, the sarcastic tweets on twitter in particular, with measurable data, available to public domain

"Sentimental Analysis on Live Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.554-559, May 2019, Available :http://www.jetir.org/papers/JETIRCU06108.pdf

"Sentimental Analysis on Live Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp554-559, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06108.pdf