Sentiment analysis of informal textual communication in cyberspace

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.

Published in:
proceedings of ENGAGE 2010, 13-25
Presented at:
ENGAGE 2010, Zermatt, Switzerland, September 13-15, 2010

 Record created 2011-03-23, last modified 2018-03-17

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