• Devika Deshmukh
• Rahul Patil
• Shubham Chafale
• Shivani Basutiya

Twitter is a social media platform, a place where people from all parts of the world can make their opinions heard. Twitter produces around 500 million of tweets daily which amounts to about 8TB of data. The data generated in twitter can be very useful if analyzed as we can extract important information via opinion mining. Opinions about any news or launch of a product or a certain kind of trend can be observed well in twitter data. The main aim of sentiment analysis (or opinion mining) is to discover emotion, opinion, subjectivity and attitude from a natural text. In twitter sentiment analysis, we categorize tweets into positive and negative sentiment. The application of sentiment analysis is broad and powerful. The ability to extract Insight from social data is a practice that is being widely adopted by organization across the world. Shifts in sentiment on social media have been shown to call error rate with shifting in the stock market. The Political parties use sentiment analysis to catch public opinion to policy announcement and campaign message. The ability to quickly understand consumer attitude and react accordingly. Expedia Canada took advantages of when they notice that there was a study increase in negative feedback to the music needing one of their television adverts

Sentiment analysis, R Studio, Twitter.

"TWITTER SENTIMENT ANALYSIS USING R-STUDIO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.7-12, May-2019, Available :http://www.jetir.org/papers/JETIRBV06002.pdf

"TWITTER SENTIMENT ANALYSIS USING R-STUDIO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp7-12, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06002.pdf