Jenifer Ghai
India
Download PDFSocial networks impacts day to day activities of human behaviour. Lots of data are generated in social networks. Managing such data in the form of classification, clustering and maintaining that data is a critical issues faced by data base managers. Twitter is one kind of social network used by internet users. In this work, the sentiments of tweets are classified using Senti value and sentiment. The performance of Senti value is appreciable than sentiment. The sent value has only 3 classes but sentiment has 13 classes. The experimental results show that the classes with numerical classification produces more accurate results than text classes.
Keywords: Twitter datasets; KNN; social networks
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