LASSA: Emotion Detection via Information Fusion | Zendy

Ning Yu | Zendy; Sandra Kübler | Zendy; Joshua Herring | Zendy; Yu-Yin Hsu | Zendy; Ross Israel | Zendy; Charese Smiley | Zendy

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LASSA: Emotion Detection via Information Fusion

Author(s) -

Ning Yu,

Sandra Kübler,

Joshua Herring,

Yu-Yin Hsu,

Ross Israel,

Charese Smiley

Publication year - 2012

Publication title -

biomedical informatics insights

Language(s) - English

Resource type - Journals

ISSN - 1178-2226

DOI - 10.4137/bii.s8949

Subject(s) - wordnet , computer science , character (mathematics) , artificial intelligence , natural language processing , emotion detection , information fusion , sentiment analysis , machine learning , emotion recognition , mathematics , geometry

DUE TO THE COMPLEXITY OF EMOTIONS IN SUICIDE NOTES AND THE SUBTLE NATURE OF SENTIMENTS, THIS STUDY PROPOSES A FUSION APPROACH TO TACKLE THE CHALLENGE OF SENTIMENT CLASSIFICATION IN SUICIDE NOTES: leveraging WordNet-based lexicons, manually created rules, character-based n-grams, and other linguistic features. Although our results are not satisfying, some valuable lessons are learned and promising future directions are identified.

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