Sentiment analysis of informal textual communication in cyberspace

  • Paltoglou G
  • Gobron S
  • Skowron M
 et al. 
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The ability to correctly identify the existence and polarity of emotion in informal, textual communication is a very important part of a realistic and immersive 3D environment where people communicate with one another through avatars or with an automated system. Such a feature would provide the system the ability to realistically represent the mood and intentions of the participants, thus greatly enhancing their experience. In this paper, we study and compare a number of approaches for detecting whether a textual utterance is of objective or subjective nature and in the latter case detecting the polarity of the utterance (i.e. positive vs. negative). Experiments are carried out on a real corpus of social exchanges in cyberspace and general conclusions are presented

Author-supplied keywords

  • Conversational Sys- tems
  • Emotional Profile
  • Opinion Mining
  • Sentiment Analysis
  • Virtual Human
  • Virtual Reality

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  • PMID: 1000289987


  • Georgios Paltoglou

  • Stéphane Gobron

  • Marcin Skowron

  • Mike Thelwall

  • Daniel Thalmann

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