Analysis on Smartphone Related Twitter Reviews by Using Opinion Mining Techniques

  • Jeongin Kim
  • Dongjin Choi
  • Myunggwon Hwang
  • Pankoo Kim
Part of the Studies in Computational Intelligence book series (SCI, volume 551)

Abstract

Due to the recent popularization of smartphones, it has become easy to get connected on Social Network Service (SNS) which caused the proliferation on the amount of tweets on Twitter. Many studies have been proposed to discover valuable meanings from Twitter text messages by using opinion mining. However, these researches have a side effect that it is only focused on positive and negative in the limited category. In this paper, we will attempt to examine which factors could affect the users interests or preferences by analyzing and comparing smartphone product reviews which were posted on Twitter, in multilateral categories, by using opinion mining.

Keywords

Social Network Services Opinion Mining Twitter 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jeongin Kim
    • 1
  • Dongjin Choi
    • 1
  • Myunggwon Hwang
    • 2
  • Pankoo Kim
    • 1
  1. 1.Dept. of Computer EngineeringChosun UniversityGwangjuRepublic of Korea
  2. 2.Korea Institute of Science and Technology Institute (KISTI)DaejeonRepublic of Korea

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