Bhat, Srinidhi and Garg, Saksham and Poornalatha, G (2019) Assigning sentiment score for twitter tweets. In: International Conference on Advances in Computing, Communications and Informatics, 19/09/2018, PESIT Bangalore South Campus.

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Abstract

Customer satisfaction has become a part of many business. Unlike in the past, companies just do not rely on pure advertisement to make their product more desirable. Their prime concern now has turned towards customer satisfaction. Similarly, people are more curious to know about the current popular opinion on events happening around the world and information about the favorite celebrities, favorite product, etc. People have turned towards social media to share their experiences and views about products as well as other people. The current work aims at using this as a base for developing a system that perceives the opinion of people about a specific product or a person. Till now, there is a lot of research that has been done in this topic. Various papers have showed different strategies to enhance sentiment analysis. In this paper, we have worked on improving the algorithms so that the sentiment conveyed can be classified in the appropriate class it belongs to

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	—Opinion Mining, Sentiment Score, Score Enhancement, Stemming, Lemmatization, Opinion Words, Feature Extraction
Subjects:	Engineering > MIT Manipal > Information and Communication Technology
Depositing User:	MIT Library
Date Deposited:	13 Sep 2019 10:31
Last Modified:	13 Sep 2019 10:31
URI:	http://eprints.manipal.edu/id/eprint/154531

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