International Journal of Data Mining and Emerging Technologies
  • Year: 2013
  • Volume: 3
  • Issue: 1

Detecting Opinions in Tweets

1GeCoDe Laboratory, Department of Computer Science, Taher Moulay University, Saida, Algeria

2GeCoDe Laboratory, Department of Computer Science, Taher Moulay University, Saida, Algeria

3AGIM (AGe, Imagerie, Modélisation), Faculté de Médecine de Grenoble, Grenoble, France

Email id: amine_abd1@yahoo.fr

Email id: hamoureda@yahoo.fr

Email id: michel.simonet@agim.eu

Abstract

Given the incessant growth of documents describing the opinions of different people circulating on the web, including Web 2.0 has made it possible to give an opinion on any product in the net. In this paper, we examine the various opinions expressed in the tweets and classify them (positive, negative or neutral) by using the emoticons for the Bayesian method and adjectives and adverbs for the Turney's method.

Keywords

Opinions detection, Tweets, Supervised approaches, Semantic orientation, Classification