• Pooja Wadhwani
• Ajay kumar

In past few years, a major growth has been seen in platforms of social media. People disseminate opinions, information, their feelings. This provides information wealth in real-time, regarding emotional state of communities or individuals behavior, and announcements via social media. They share lot regarding them and their experiences. They frequently share regarding. 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

"Emotion Extraction using Ensemble Classification Model in data mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.714-720, July-2018, Available :http://www.jetir.org/papers/JETIR1807460.pdf

"Emotion Extraction using Ensemble Classification Model in data mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp714-720, July-2018, Available at : http://www.jetir.org/papers/JETIR1807460.pdf