RECOGNIZING EMOTIONS IN SHORT TEXTS

Ovidiu Şerban, Alexandre Pauchet, Horia F. Pop

2012

Abstract

Affective Computing is one of the fields used by computer scientists to transfer the knowledge from psychology to the Human-Machine Interaction research field, while offering a better understanding on Human to Human Interaction. Several approaches have been tried in the area, like text and voice techniques to discover emotions. Since the classification problem is not typical, the difficulty is increased by the fuzziness of the data sets. Our paper proposes a method that aims at a better recognition rate of human emotions. Our model is based on the Self-Organizing Maps algorithm and it can be applied on short texts with a high degree of affective content. It is designed to be integrated into an Embodied Conversational Agent.

References

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Paper Citation


in Harvard Style

Şerban O., Pauchet A. and F. Pop H. (2012). RECOGNIZING EMOTIONS IN SHORT TEXTS . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 477-480. DOI: 10.5220/0003718004770480


in Bibtex Style

@conference{icaart12,
author={Ovidiu Şerban and Alexandre Pauchet and Horia F. Pop},
title={RECOGNIZING EMOTIONS IN SHORT TEXTS},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={477-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003718004770480},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - RECOGNIZING EMOTIONS IN SHORT TEXTS
SN - 978-989-8425-95-9
AU - Şerban O.
AU - Pauchet A.
AU - F. Pop H.
PY - 2012
SP - 477
EP - 480
DO - 10.5220/0003718004770480