Sentiment Lexicon Construction Using SentiWordNet 3.0

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aut.relation.pages5
aut.researcherWhalley, Jacqueline
dc.contributor.authorWhalley, JLen_NZ
dc.contributor.authorMedagoda, Nen_NZ
dc.date.accessioned2015-11-03T01:51:20Z
dc.date.available2015-11-03T01:51:20Z
dc.date.copyright2015-08-15en_NZ
dc.date.issued2015-08-15en_NZ
dc.description.abstractOpinion mining and sentiment analysis have become popular in linguistic resource rich languages. Opinions for such analysis are drawn from many forms of freely available online/electronic sources, such as websites, blogs, news re-ports and product reviews. But attention received by less resourced languages is significantly less. This is because the success of any opinion mining algorithm depends on the availability of resources, such as special lexicon and WordNet type tools. In this research, we implemented a less complicated but an effective approach that could be used to classify comments in less resourced languages. We experimented the approach for use with Sinhala Language where no such opinion mining or sentiment analysis has been carried out until this day. Our algorithm gives significantly promising results for analyzing sentiments in Sinhala for the first time.en_NZ
dc.identifier.citationInternational Conference on Natural Computing held at Hunan University, China, Zhangjiajie, China, 2015-08-15 to 2015-10-17, published in: 11th International Conference on Natural Computing IEEE ICNC (2015), pages 5en_NZ
dc.identifier.doi10.1109/ICNC.2015.7378094
dc.identifier.isbn978-1-4673-7678-5en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/9175
dc.publisherIEEE
dc.relation.urihttp://ieeexplore.ieee.org/document/7378094/en_NZ
dc.rightsCopyright © 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.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectOpinion mining; Sentiment analysis; Sentiment lexicons
dc.titleSentiment Lexicon Construction Using SentiWordNet 3.0en_NZ
dc.typeConference Contribution
pubs.elements-id192539
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
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