• PARMINDER KAUR
• Dr. SANDEEP KAUTISH

In past few years, a major growth has been seen in platforms of social media. People disseminate opinions, information, behavior, and announcements via social media. They share lot regarding them and their experiences. They frequently share regarding their feelings. This provides information wealth in real-time, regarding emotional state of communities or individuals. There is explosion of interaction on social media. People use Twitter to exchange experience, opinions, and feelings. This huge amount of data can provide important information for mental health research. In this paper, extraction of emotions from the text posted on social media using data mining techniques

emotion mining, social media, data mining, tweets, ensemble learning

"Opinion Mining from Tweets on Goods and Services Tax (GST) using Ensemble Learning Technique and Computational Linguistics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.691-697, June-2018, Available :http://www.jetir.org/papers/JETIR1806602.pdf

"Opinion Mining from Tweets on Goods and Services Tax (GST) using Ensemble Learning Technique and Computational Linguistics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp691-697, June-2018, Available at : http://www.jetir.org/papers/JETIR1806602.pdf