• Shailja Bhardwaj
• Deepak Arya
• Sakendra Kumar
• Rachan Karmakar
• Gaurav Gupta

Social Media is one of the greatest stage for data sharing. Social data analysis is the examination of individuals' cooperation in social context [1]. The data investigated here is gathered through person to person communication site Twitter. This paper is about the Sentiment Analysis of tweets on point BARCELONA TERROR ATTACK [6]. Fundamental inspiration to utilize this subject is to notice, look at and dissect how individuals censure what is happening either by communicating their hostility against psychological militant or supporting the people in question, as we as a whole denounce such brutal exercises in our own specific manner. This paper is a general report on sentiment analysis by utilizing R language with deep and ML draws near.

SENTIMENT ANALYSIS OF SOCIAL MEDIA USING R WITH DEEP AND MACHINE LEARNING: A DEEP DIVE

"SENTIMENT ANALYSIS OF SOCIAL MEDIA USING R WITH DEEP AND MACHINE LEARNING: A DEEP DIVE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.931-935, February-2019, Available :http://www.jetir.org/papers/JETIR1902F89.pdf

"SENTIMENT ANALYSIS OF SOCIAL MEDIA USING R WITH DEEP AND MACHINE LEARNING: A DEEP DIVE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp931-935, February-2019, Available at : http://www.jetir.org/papers/JETIR1902F89.pdf