Twitter Sentiment Analysis Using Machine Learning Techniques

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 358)

Abstract

Twitter is a microblogging site in which users can post updates (tweets) to friends (followers). It has become an immense dataset of the so-called sentiments. In this paper, we introduce an approach to selection of a new feature set based on Information Gain, Bigram, Object-oriented extraction methods in sentiment analysis on social networking side. In addition, we also proposes a sentiment analysis model based on Naive Bayes and Support Vector Machine. Its purpose is to analyze sentiment more effectively. This model proved to be highly effective and accurate on the analysis of feelings.

Keywords

Twitter sentiment analysis sentiment classification 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceVNUHCM-University of ScienceHo Chi MinhVietnam
  2. 2.Department of Information ScienceSaigon UniversityHo Chi MinhVietnam

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