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Survey of various algorithms used in twitter for sentiment analysis
, Kalivaradhan R.B., Jayavel S.
Published in Innovare Academics Sciences Pvt. Ltd
Volume: 6
Issue: 6
Pages: 449 - 454
Sentiment analysis is a process of finding polarity of the sentence and classify the sentence or document as positive and negative. There is a vast amount of data generated in social media in the form of blogs, comments, product reviews, tweets, status, etc. Sentiment analysis in Twitter has become a good research topic in recent years. As Twitter allows only 140 characters, it is very challenging to determine whether the tweet was a positive or negative tweet. There are many algorithms to analyse the polarity of the sentence. After studying major sentiment analysis algorithms, we evaluate the performance of these algorithms. © 2019 by Advance Scientific Research. This is an open-access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
About the journal
JournalJournal of Critical Reviews
PublisherInnovare Academics Sciences Pvt. Ltd
Open AccessNo