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Comparative analysis of machine learning algorithms on social media test
International Journal of Engineering & Technology
Sentiment analysis deals with identifying and classifying opinions or sentiments expressed in main text. It mainly refers to a text classification. Social media is generating a vast amount of sentiment rich data in the form of tweets, blog posts, comments, status updates, news etc. Sentiment analysis of this user generated data is very useful in knowing the opinion of the public. Knowledge base approach and Machine learning approach are the two strategies used for analyzing sentiments from thedoi:10.14419/ijet.v7i2.8.10425 fatcat:kp2qz7xe7vhqnklo3q4524qmhm