Pamukkale University Journal of Engineering Sciences (May 2016)

Sentiment analysis with Twitter

  • Banu Diri,
  • Caner Ertano,
  • Eyüp Sercan Akgül

Journal volume & issue
Vol. 22, no. 2
pp. 106 – 110

Abstract

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Sentimental Twitter software is parsing, analyzing and reporting Twitter data, giving service to individuals and corporate users via its user friendly graphical user interface. Each tweet is classified as positive, negative or neutral in Sentimental Twitter. In this study, both lexicon and n-gram method has been used to perform and implement two different methods. As a result the lexicon method has been measured more performance than the n-gram method.

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