RT Journal Article
JF IEEE Transactions on Affective Computing
YR 2013
VO 4
IS 3
SP 312
TI Synesketch: An Open Source Library for Sentence-Based Emotion Recognition
A1 Uros Krcadinac,
A1 Philippe Pasquier,
A1 Jelena Jovanovic,
A1 Vladan Devedzic,
K1 Emotion recognition
K1 Libraries
K1 Semantics
K1 Software
K1 Databases
K1 Accuracy
K1 Internet
K1 emotion in human-computer interaction
K1 Natural language processing
K1 text analysis
K1 sentiment analysis
AB Online human textual interaction often carries important emotional meanings inaccessible to computers. We propose an approach to textual emotion recognition in the context of computer-mediated communication. The proposed recognition approach works at the sentence level and uses the standard Ekman emotion classification. It is grounded in a refined keyword-spotting method that employs: a WordNet-based word lexicon, a lexicon of emoticons, common abbreviations and colloquialisms, and a set of heuristic rules. The approach is implemented through the Synesketch software system. Synesketch is published as a free, open source software library. Several Synesketch-based applications presented in the paper, such as the the emotional visual chat, stress the practical value of the approach. Finally, the evaluation of the proposed emotion recognition algorithm shows high accuracy and promising results for future research and applications.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1949-3045
LA English
DO 10.1109/T-AFFC.2013.18
LK http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2013.18