• Asif Ahmad Siddiqui
• Vibhu Priyadrashi
• Nikita Warke
• Anuja Kumbharde

In recent years, there has been a rapid growth in online communication. There are many social networking sites and related mobile applications, and some more are still emerging. Huge amount of data is generated by these sites every day and this data can be used as a source for various analysis purposes. Twitter is one of the most popular networking sites with millions of users. There are users with different views and varieties of reviews in the form of tweets are generated by them. Nowadays Opinion Mining has become an emerging topic of research due to lot of opinionated data available on Blogs social networking sites. Tracking different types of opinions summarizing them can provide valuable insight to different types of opinions to users who use Social networking sites to get reviews about any product, service or any topic. Analysis of opinions its classification on the basis of polarity (positive, negative, neutral) is a challenging task.

Opinion Mining; Social Networking; Polarity; Sentiment Analysis; Sarcasm Detection.

"SENTIMENT ANALYSIS USING DATA MINING AND SARCASM DETECTION ON SOCIAL PLATFORMS SUCH AS TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.161-165, May-2019, Available :http://www.jetir.org/papers/JETIR1905928.pdf

"SENTIMENT ANALYSIS USING DATA MINING AND SARCASM DETECTION ON SOCIAL PLATFORMS SUCH AS TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp161-165, May-2019, Available at : http://www.jetir.org/papers/JETIR1905928.pdf