• Pravin Katkar
• Hrushikesh Bachkar
• Sandhya Gude
• Mamata Chavan
• Prof. Sneha Vanjari

In Social media Twitter, Facebook are different is one of the most usually utilized stages for imparting insights, communicating sees. Sentiment Analysis on social data like review can enable clients to comprehend the suppositions communicated in tweets and characterizing them in positive or negative classes. The associations can utilize slant investigation to get a thought of the client's reviews of different colleges in Pune. Automation of this undertaking makes it simpler to manage the huge proportion of data being created by social sites like twitter, Facebook as well as personal college websites on an on-going premise. In this proposed system we can sentiment analysis on review various college in Pune. According to classification users review suggest the top colleges in Pune also view shortest distance route on map. In our system we also performance comparison of the Naïve Bayes and Support Vector Machine algorithm.

College, Support Vector Machine, Sentiment Analysis

"Sentiment Analysis Using Social Media Data ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.338-344, June 2019, Available :http://www.jetir.org/papers/JETIR1907R56.pdf

"Sentiment Analysis Using Social Media Data ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp338-344, June 2019, Available at : http://www.jetir.org/papers/JETIR1907R56.pdf