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A Computational Approach for Analyzing and Detecting Emotions in Arabic Text

Author(s): Amira F. El Gohary, Torky I. Sultan, Maha A. Hana, Mohamed M. El Dosoky

Journal: International Journal of Engineering Research and Applications
ISSN 2248-9622

Volume: 3;
Issue: 3;
Start page: 100;
Date: 2013;
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Keywords: Emotion recognition | affective computing | human- machine interaction | emotional Arabic lexicon | text analysis.

The field of Affective Computing (AC) expects to narrow the communicative gap between the highly emotional human and the emotionally challenged computer by developing computational systems that recognize and respond to the affective states of the user. Affect-sensitive interfaces are being developed in number of domains, including gaming, mental health, and learning technologies. Emotions are part of human life. Recently, interest has been growing among researchers to find ways of detecting subjective information used in blogs and other online social media. This paper concerned with the automatic detection of emotions in Arabic text. This construction is based on a moderate sized Arabic emotion lexicon used to annotate Arabic children stories for the six basic emotions: Joy, Fear, Sadness, Anger, Disgust, and Surprise.Our approach achieves 65% accuracy for emotion detection in Arabic text.
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