• R.Vijayabhanu
• R.Shenbagam

Social networking plays a significant role in our day-to-day life by interacting around the world about any business and social products or services. The opinions, suggestions and the reviews on various disciplines on social mediums share a remarkable place in marketing and promoting. Sentiment analysis or opinion mining is the study of public opinions, sentiments, attitudes, and emotions that are expressed by the people and a dynamic area in natural language processing and text mining in current years. Being a huge social website, Twitter consists of large users posting and disputing their information. One such trending domain like Politics has been analyzed in this paper. Sentiment analysis is a chain of various processes such as data mining and machine learning. In this paper, sentiment analysis has been carried out on the politics dataset by sentiment scoring, classification and performance evaluation.

Sentiment Analysis, Opinion Mining, Natural Language Processing (NLP), Lexicons, Polarity Classification.

"TWITTER DATA SENTIMENT ANALYSIS AND WORD CLOUD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.316-322, December-2018, Available :http://www.jetir.org/papers/JETIR1812142.pdf

"TWITTER DATA SENTIMENT ANALYSIS AND WORD CLOUD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp316-322, December-2018, Available at : http://www.jetir.org/papers/JETIR1812142.pdf