SENTIMENT ANALYSIS USING MACHINE LEARNING : A REVIEW
Anjali Gupta, Amita Dhankar, Suryansh Dabas · Journal of Emerging Technologies and Innovative Research · 2018
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.