• S.Joshua Johnson
• B.V.D.S.Sailendra
• K.Katyayini
• B.Pooja
• G.V.Sai Prasad

Technology today has become a momentous driving vehicle for communication world-wide.Social media platforms like twitter,facebook, instagram are the most important arenas for expressing views on transformations happening in and around the world everyday.Twitter is a rich origin of info for mining of user opinions.This paper reflects the idea of taking user opinions into consideration performing sentiment, emotion analysis and establishing conclusions on interested topics using Machine Learning algorithms.Naive Bayes and Support Vectors Machines in Machine Learning are tuned-up using supervised learning to obtain outputs for sentiment emotion analysis respectively.Sentiment analysis desires to obtain sentiment polarity (positive or negative) and Emotion analysis intent to obtain emotion (eg., empty , sadness , anger..etc) from user data. Such analysis essentially serves a gateway for consumer needs and generates growth opportunities in businesses.

Sentiment Analysis , Emotion analysis, Naive Bayes , Support Vector Machines, Preprocessing , Tokenization, Stemming ,Lemmatization , Twitter.

"SENTIMENT AND EMOTIONAL ANALYSIS OF USER OPINIONS ON TWITTER DATA USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.33-45, April-2020, Available :http://www.jetir.org/papers/JETIR2004205.pdf

"SENTIMENT AND EMOTIONAL ANALYSIS OF USER OPINIONS ON TWITTER DATA USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp33-45, April-2020, Available at : http://www.jetir.org/papers/JETIR2004205.pdf