• ANJALI GUPTA
• AMITA DHANKAR
• SURYANSH DABAS

Sentiment analysis is a field of Research under analytics. This can use computational techniques by reading raw data to make sense. This is called analysis. By using sentiment analysis written expression can be evaluated which can be favorable, unfavorable or neutral. People use different types of social media like facebook, twitter, people sentiments can be determined in an effective way by twitter. In this various machine learning techniques are used. Raw data is read from twitter and it is compared against trained machine which can be positive, negative or neutral. Social networking data can be examined by effectual sentiment analysis which involves extrication of subjective information from written data.

Twitter, KNN, SVM, Crisp-DM, and SAS-SEMA.

"SENTIMENT ANALYSIS USING MACHINE LEARNING : A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.935-937, February-2018, Available :http://www.jetir.org/papers/JETIR1802163.pdf

"SENTIMENT ANALYSIS USING MACHINE LEARNING : A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp935-937, February-2018, Available at : http://www.jetir.org/papers/JETIR1802163.pdf