Textual emotion classification: an interoperability study on cross-genre data sets

Ofoghi, Bahadorreza and Verspoor, Karin 2017, Textual emotion classification: an interoperability study on cross-genre data sets, in AI 2017 : Proceedings of the 30th Australasian joint conference on artificial intelligence, Springer Verlag, Cham, Switzerland, pp. 262-273, doi: 10.1007/978-3-319-63004-5.

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Title Textual emotion classification: an interoperability study on cross-genre data sets
Author(s) Ofoghi, Bahadorreza
Verspoor, Karin
Conference name Advances in artificial intelligence. Joint conference (30th : 2017 : Melbourne, Australia)
Conference location Melbourne, Australia
Conference dates 2017/08/19 - 2017/08/20
Title of proceedings AI 2017 : Proceedings of the 30th Australasian joint conference on artificial intelligence
Editor(s) Peng, W.
Alahakoon, D.
Li, X.
Publication date 2017
Series Lecture notes in computer science v.10400
Conference series Advances in artificial intelligence joint conference
Start page 262
End page 273
Total pages 12
Publisher Springer Verlag
Place of publication Cham, Switzerland
Keyword(s) Emotion classification
Lexicon-based
Cross-genre
ISBN 9783319630045
9783319630038
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-63004-5
Field of Research 08 Information And Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, Springer International Publishing AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30105938

Document type: Conference Paper
Collection: Department of Information Systems and Business Analytics
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