Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/70899
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Chinese and Bilingual Studies | en_US |
dc.creator | Wang, ZQ | en_US |
dc.creator | Lee, SYM | en_US |
dc.creator | Li, SS | en_US |
dc.creator | Zhou, GD | en_US |
dc.date.accessioned | 2017-12-28T06:18:26Z | - |
dc.date.available | 2017-12-28T06:18:26Z | - |
dc.identifier.issn | 2329-9290 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/70899 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Z. Wang, S. Y. M. Lee, S. Li and G. Zhou, "Emotion Analysis in Code-Switching Text With Joint Factor Graph Model," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 3, pp. 469-480, March 2017 is available at https://dx.doi.org/10.1109/TASLP.2016.2637280. | en_US |
dc.subject | Bilingual information | en_US |
dc.subject | Code-switching | en_US |
dc.subject | Emotion analysis | en_US |
dc.subject | Factor graph model | en_US |
dc.title | Emotion analysis in code-switching text with joint factor graph model | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 469 | en_US |
dc.identifier.epage | 480 | en_US |
dc.identifier.volume | 25 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.doi | 10.1109/TASLP.2016.2637280 | en_US |
dcterms.abstract | Previous research on emotions analysis has placed much emphasis in monolingual instead of bilingual text. However, emotions on social media platforms are often found in bilingual or code-switching posts. Different from monolingual text, emotions in code-switching text can be expressed in both monolingual and bilingual forms. Moreover, more than one emotion can be expressed within a single post; yet they tend to be related in some ways which offers some implications. It is thus necessary to consider the correlation between different emotions. In this paper, a joint factor graph model is proposed to address this issue. In particular, attribute functions of the factor graph model are utilized to learn both monolingual and bilingual information from each post, factor functions are used to explore the relationship among different emotions, and a belief propagation algorithm is employed to learn and predict the model. Empirical studies demonstrate the importance of emotion analysis in code-switching text and the effectiveness of our proposed joint learning model. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE/ACM transactions on audio, speech, and language processing, 2017, v. 25, no. 3, p. 469-480 | en_US |
dcterms.isPartOf | IEEE/ACM transactions on audio, speech, and language processing | en_US |
dcterms.issued | 2017 | - |
dc.identifier.isi | WOS:000395561200002 | - |
dc.identifier.ros | 2016005554 | - |
dc.identifier.rosgroupid | 2016005303 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | CBS-0349, a1345 | - |
dc.identifier.SubFormID | 44658 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Others: PolyU Research Grant | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6729866 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wang_Code-Switching_Joint_Factor.pdf | Pre-Published version | 1.31 MB | Adobe PDF | View/Open |
Page views
70
Last Week
4
4
Last month
Citations as of Apr 28, 2024
Downloads
47
Citations as of Apr 28, 2024
SCOPUSTM
Citations
25
Last Week
0
0
Last month
Citations as of Apr 19, 2024
WEB OF SCIENCETM
Citations
16
Last Week
0
0
Last month
Citations as of May 2, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.