Please use this identifier to cite or link to this item:
Title: Emotion detection in code-switching texts via bilingual and sentimental information
Authors: Wang, Z
Lee, SYM 
Li, S
Zhou, G
Issue Date: 2015
Publisher: Association for Computational Linguistics (ACL)
Source: ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference, 26-31 July 2015, v. 2, p. 763-768 How to cite?
Abstract: Code-switching is commonly used in the free-form text environment, such as social media, and it is especially favored in emotion expressions. Emotions in codeswitching texts differ from monolingual texts in that they can be expressed in either monolingual or bilingual forms. In this paper, we first utilize two kinds of knowledge, i.e. bilingual and sentimental information to bridge the gap between different languages. Moreover, we use a term-document bipartite graph to incorporate both bilingual and sentimental information, and propose a label propagation based approach to learn and predict in the bipartite graph. Empirical studies demonstrate the effectiveness of our proposed approach in detecting emotion in code-switching texts.
ISBN: 9781941643730
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Oct 12, 2018

Page view(s)

Last Week
Last month
Citations as of Oct 15, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.