An Emotion Detection System for Cantonese

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

1 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference
EditorsRoman Barták, Keith Brawner
PublisherAAAI Press
Pages237-240
ISBN (Print)9781577358053
Publication statusPublished - May 2019

Publication series

NameProceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
ISSN (Print)2334-0754
ISSN (Electronic)2334-0762

Conference

Title32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019
PlaceUnited States
CitySarasota
Period19 - 22 May 2019

Abstract

We present the first automatic emotion detection system for Cantonese. This system classifies input text into eight emotion classes: expectancy, joy, love, surprise, anxiety, sorrow, angry, or hate. While a number of emotion corpora and lexica for Mandarin Chinese have been developed, no emotion dataset is available for Cantonese. We leverage existing Mandarin Chinese emotion resources to build the system, with support from Cantonese-Mandarin lexical mappings from a machine translation system, as well as English-Mandarin lexical mappings to handle code-switching in Cantonese input. Evaluation on a set of Cantonese sentences from social media shows promising results.

Citation Format(s)

An Emotion Detection System for Cantonese. / Lee, John.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference. ed. / Roman Barták; Keith Brawner. AAAI Press, 2019. p. 237-240 (Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review