Cross-domain co-extraction of sentiment and topic lexicons

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dc.contributor.authorFangtao Li
dc.contributor.authorSinno Jialin Pan
dc.contributor.authorOu Jin
dc.contributor.authorQiang Yang
dc.contributor.authorXiaoyan Zhu
dc.date.accessioned2013-05-29T18:34:28Z
dc.date.available2013-05-29T18:34:28Z
dc.date.issued2012
dc.descriptionMeeting: 50th Annual Meeting of Association for Computational Linguistics (ACL'12)en
dc.description.abstractThe goal is automatic extraction of relevant terms from a domain of interest. In the past few years, opinion mining and sentiment analysis have attracted much attention in natural language processing and information retrieval. The proposed method can utilize useful labeled data from the source domain as well as exploit the relationships between the topic and sentiment words to propagate information for lexicon construction in the target domain. Domain adaptation aims at transferring knowledge across domains where data distributions may be different. This model extracts both topic and sentiment words and also allows non-adjective sentiment words, achieving much better results on cross-domain lexicon extraction.en
dc.formatTexten
dc.format.extent1 digital file (10 p. : ill.)en
dc.format.mimetypeApplication/pdf
dc.identifier.citationFangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, & Xiaoyan Zhu (2012). Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. Proceedings of the 50th Annual Meeting of Association for Computational Linguistics (ACL'12)en
dc.identifier.urihttp://hdl.handle.net/10625/51244
dc.identifier.urihttp://www1.i2r.a-star.edu.sg/~jspan/publications/[ACL12]Cross-Domain%20Co-Extraction%20of%20Sentiment%20and%20Topic%20Lexicons.pdf
dc.language.isoen
dc.subjectSENTIMENT ANALYSISen
dc.subjectMACHINE LEARNINGen
dc.subjectALGORITHMSen
dc.titleCross-domain co-extraction of sentiment and topic lexiconsen
dc.typeConference Paperen
idrc.dspace.accessIDRC Onlyen
idrc.project.componentnumber104519006
idrc.project.number104519
idrc.project.titleInternational Research Chairs Initiative (IRCI)en
idrc.recordsserver.bcsnumberIC01-3412-136
idrc.rims.adhocgroupIDRC SUPPORTEDen

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