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2011 | OriginalPaper | Chapter

Emotional Aware Clustering on Micro-blogging Sources

Authors: Katerina Tsagkalidou, Vassiliki Koutsonikola, Athena Vakali, Konstantinos Kafetsios

Published in: Affective Computing and Intelligent Interaction

Publisher: Springer Berlin Heidelberg

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Microblogging services have nowadays become a very popular communication tool among Internet users. Since millions of users share opinions on different aspects of life everyday, microblogging web-sites are considered as a credible source for exploring both factual and subjective information. This fact has inspired research in the area of automatic sentiment analysis. In this paper we propose an emotional aware clustering approach which performs sentiment analysis of users tweets on the basis of an emotional dictionary and groups tweets according to the degree they express a specific set of emotions. Experimental evaluations on datasets derived from Twitter prove the efficiency of the proposed approach.

Metadata
Title
Emotional Aware Clustering on Micro-blogging Sources
Authors
Katerina Tsagkalidou
Vassiliki Koutsonikola
Athena Vakali
Konstantinos Kafetsios
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-24600-5_42

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