Twitter Dual Sentiment Analysis (TDSA)
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
Nowadays, Most of the people's interested area is social medias. They use social medias to know the reviews about various topics and areas. Sentiment analysis is the one of the technology used in social medias to know the reviews about movies, company products, social topics etc. The most popular technology used for sentiment analysis is Bag of Words (BOW). It is a uni-gram model. Which keep track of each words to decide whether the sentiment belong to positive or negative. But it has limitations due to the polarity shifting. So an alternative technology used for sentiment analysis is Dual Sentiment Analysis (DSA), which means considering two sides of one review, that is original review and its corresponding reverse review and check the probability of whether it belongs to positive class or negative class or neutral. In this paper, the Dual Sentiment Analysis is performed on the data from Twitter. Twitter is one of the social media, where peoples can put their reviews about a specific topic or any areas. So here using technology for sentiment analysis is Twitter Dual Sentiment Analysis (TDSA) for the analysis of twitter datas.
Authors and Affiliations
Neethu V M, Dr. S. Brilly Sangeetha
Keywords
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- EP ID EP23802
- DOI http://doi.org/10.22214/ijraset.2017.4095
- Views 264
- Downloads 6
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