Sentiment classification of customer reviews based on fuzzy logic
Nowadays, e-commerce is growing fast, so product reviews have grown rapidly on the web. The large number of reviews makes it difficult for manufacturers or businesses to automatically classify them into different semantic orientations (positive, negative, and neutral). Most existing method utilize a...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47624/ http://psasir.upm.edu.my/id/eprint/47624/1/Sentiment%20classification%20of%20customer%20reviews%20based%20on%20fuzzy%20logic.pdf |
| _version_ | 1848850861920354304 |
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| author | Nadali, Samaneh Azmi Murad, Masrah Azrifah Abdul Kadir, Rabiah |
| author_facet | Nadali, Samaneh Azmi Murad, Masrah Azrifah Abdul Kadir, Rabiah |
| author_sort | Nadali, Samaneh |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nowadays, e-commerce is growing fast, so product reviews have grown rapidly on the web. The large number of reviews makes it difficult for manufacturers or businesses to automatically classify them into different semantic orientations (positive, negative, and neutral). Most existing method utilize a list of opinion words for sentiment classification. whereas, this paper propose a fuzzy logic model to perform semantic classifications of customers review into the following sub-classes: very weak, weak, moderate, very strong and strong by combinations adjective, adverb and verb to increase holistic the accuracy of lexicon approach. Fuzzy logic, unlike statistical data mining techniques, not only allows using non-numerical values also introduces the notion of linguistic variables. Using linguistic terms and variables will result in a more human oriented querying process. |
| first_indexed | 2025-11-15T10:13:01Z |
| format | Conference or Workshop Item |
| id | upm-47624 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:01Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-476242019-05-27T02:37:56Z http://psasir.upm.edu.my/id/eprint/47624/ Sentiment classification of customer reviews based on fuzzy logic Nadali, Samaneh Azmi Murad, Masrah Azrifah Abdul Kadir, Rabiah Nowadays, e-commerce is growing fast, so product reviews have grown rapidly on the web. The large number of reviews makes it difficult for manufacturers or businesses to automatically classify them into different semantic orientations (positive, negative, and neutral). Most existing method utilize a list of opinion words for sentiment classification. whereas, this paper propose a fuzzy logic model to perform semantic classifications of customers review into the following sub-classes: very weak, weak, moderate, very strong and strong by combinations adjective, adverb and verb to increase holistic the accuracy of lexicon approach. Fuzzy logic, unlike statistical data mining techniques, not only allows using non-numerical values also introduces the notion of linguistic variables. Using linguistic terms and variables will result in a more human oriented querying process. IEEE 2010 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47624/1/Sentiment%20classification%20of%20customer%20reviews%20based%20on%20fuzzy%20logic.pdf Nadali, Samaneh and Azmi Murad, Masrah Azrifah and Abdul Kadir, Rabiah (2010) Sentiment classification of customer reviews based on fuzzy logic. In: International Symposium on Information Technology (ITSim'10), 15-17 June 2010, Kuala Lumpur Convention Centre, Kuala Lumpur. (pp. 1037-1044). 10.1109/ITSIM.2010.5561583 |
| spellingShingle | Nadali, Samaneh Azmi Murad, Masrah Azrifah Abdul Kadir, Rabiah Sentiment classification of customer reviews based on fuzzy logic |
| title | Sentiment classification of customer reviews based on fuzzy logic |
| title_full | Sentiment classification of customer reviews based on fuzzy logic |
| title_fullStr | Sentiment classification of customer reviews based on fuzzy logic |
| title_full_unstemmed | Sentiment classification of customer reviews based on fuzzy logic |
| title_short | Sentiment classification of customer reviews based on fuzzy logic |
| title_sort | sentiment classification of customer reviews based on fuzzy logic |
| url | http://psasir.upm.edu.my/id/eprint/47624/ http://psasir.upm.edu.my/id/eprint/47624/ http://psasir.upm.edu.my/id/eprint/47624/1/Sentiment%20classification%20of%20customer%20reviews%20based%20on%20fuzzy%20logic.pdf |