Adaptation and Use of Subjectivity Lexicons for Domain Dependent Sentiment Classification
| dc.contributor.author | Dehkharghani, Rahim | |
| dc.contributor.author | Yanıkoğlu, Berrin | |
| dc.contributor.author | Tapucu, Dilek | |
| dc.contributor.author | Saygın, Yücel | |
| dc.coverage.doi | 10.1109/ICDMW.2012.121 | |
| dc.date.accessioned | 2017-03-23T07:45:42Z | |
| dc.date.available | 2017-03-23T07:45:42Z | |
| dc.date.issued | 2012 | |
| dc.description | 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012; Brussels; Belgium; 10 December 2012 | en_US |
| dc.description.abstract | Sentiment analysis refers to the automatic extraction of sentiments from a natural language text. We study the effect of subjectivity-based features on sentiment classification on two lexicons and also propose new subjectivity-based features for sentiment classification. The subjectivity-based features we experiment with are based on the average word polarity and the new features that we propose are based on the occurrence of subjective words in review texts. Experimental results on hotel and movie reviews show an overall accuracy of about 84% and 71% in hotel and movie review domains respectively; improving the baseline using just the average word polarities by about 2% points. © 2012 IEEE. | en_US |
| dc.identifier.citation | Dehkharghani, R., Yanıkoğlu, B., Tapucu, D., and Saygın, Y. (2012, December 10). Adaptation and use of subjectivity lexicons for domain dependent sentiment classification. Paper presented at the 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012. doi:10.1109/ICDMW.2012.121 | en_US |
| dc.identifier.doi | 10.1109/ICDMW.2012.121 | |
| dc.identifier.isbn | 9780769549255 | |
| dc.identifier.scopus | 2-s2.0-84873130582 | |
| dc.identifier.uri | http://doi.org/10.1109/ICDMW.2012.121 | |
| dc.identifier.uri | http://hdl.handle.net/11147/5128 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012 | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Lexicon based methods | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Opinion mining | en_US |
| dc.subject | Polarity extraction | en_US |
| dc.subject | Sentiment analysis | en_US |
| dc.title | Adaptation and Use of Subjectivity Lexicons for Domain Dependent Sentiment Classification | en_US |
| dc.type | Conference Object | en_US |
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| gdc.author.institutional | Tapucu, Dilek | |
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| gdc.description.department | İzmir Institute of Technology. Computer Engineering | en_US |
| gdc.description.endpage | 673 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 669 | en_US |
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| gdc.oaire.keywords | Opinion mining | |
| gdc.oaire.keywords | Sentiment analysis | |
| gdc.oaire.keywords | Lexicon based methods | |
| gdc.oaire.keywords | Machine learning | |
| gdc.oaire.keywords | Polarity extraction | |
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