Prediction of rating from comments based on information retrieval and sentiment analysis
The number of users of an on-line shopping websites is continuously increasing. Such website often provides facility for the users to give comments and ratings to the products being sold on the websites. This information can be useful as the recommendation for other users in making their purchase de...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/55910/ http://psasir.upm.edu.my/id/eprint/55910/1/Prediction%20of%20rating%20from%20comments%20based%20on%20information%20retrieval%20and%20sentiment%20analysis.pdf |
| _version_ | 1848852934356369408 |
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| author | Alshari, Eissa Mohammed Mohsen Azman, Azreen Mustapha, Norwati C. Doraisamy, Shyamala Alksher, Mostafa Ahmed |
| author_facet | Alshari, Eissa Mohammed Mohsen Azman, Azreen Mustapha, Norwati C. Doraisamy, Shyamala Alksher, Mostafa Ahmed |
| author_sort | Alshari, Eissa Mohammed Mohsen |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The number of users of an on-line shopping websites is continuously increasing. Such website often provides facility for the users to give comments and ratings to the products being sold on the websites. This information can be useful as the recommendation for other users in making their purchase decision. This paper investigates the problem of predicting rating based on users' comments. A classifier based on information retrieval model is proposed for the prediction. In addition, the effect of integrating sentiment analysis for the rating prediction is also investigated. Based on the results, an improvement in prediction performance can be expected with sentiment analysis where an increase of 54% is achieved. |
| first_indexed | 2025-11-15T10:45:58Z |
| format | Conference or Workshop Item |
| id | upm-55910 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:45:58Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-559102017-06-30T09:52:30Z http://psasir.upm.edu.my/id/eprint/55910/ Prediction of rating from comments based on information retrieval and sentiment analysis Alshari, Eissa Mohammed Mohsen Azman, Azreen Mustapha, Norwati C. Doraisamy, Shyamala Alksher, Mostafa Ahmed The number of users of an on-line shopping websites is continuously increasing. Such website often provides facility for the users to give comments and ratings to the products being sold on the websites. This information can be useful as the recommendation for other users in making their purchase decision. This paper investigates the problem of predicting rating based on users' comments. A classifier based on information retrieval model is proposed for the prediction. In addition, the effect of integrating sentiment analysis for the rating prediction is also investigated. Based on the results, an improvement in prediction performance can be expected with sentiment analysis where an increase of 54% is achieved. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55910/1/Prediction%20of%20rating%20from%20comments%20based%20on%20information%20retrieval%20and%20sentiment%20analysis.pdf Alshari, Eissa Mohammed Mohsen and Azman, Azreen and Mustapha, Norwati and C. Doraisamy, Shyamala and Alksher, Mostafa Ahmed (2016) Prediction of rating from comments based on information retrieval and sentiment analysis. In: 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP'16), 23-24 Aug. 2016, Hatten Hotel Melaka, Malaysia. (pp. 32-36). 10.1109/INFRKM.2016.7806330 |
| spellingShingle | Alshari, Eissa Mohammed Mohsen Azman, Azreen Mustapha, Norwati C. Doraisamy, Shyamala Alksher, Mostafa Ahmed Prediction of rating from comments based on information retrieval and sentiment analysis |
| title | Prediction of rating from comments based on information retrieval and sentiment analysis |
| title_full | Prediction of rating from comments based on information retrieval and sentiment analysis |
| title_fullStr | Prediction of rating from comments based on information retrieval and sentiment analysis |
| title_full_unstemmed | Prediction of rating from comments based on information retrieval and sentiment analysis |
| title_short | Prediction of rating from comments based on information retrieval and sentiment analysis |
| title_sort | prediction of rating from comments based on information retrieval and sentiment analysis |
| url | http://psasir.upm.edu.my/id/eprint/55910/ http://psasir.upm.edu.my/id/eprint/55910/ http://psasir.upm.edu.my/id/eprint/55910/1/Prediction%20of%20rating%20from%20comments%20based%20on%20information%20retrieval%20and%20sentiment%20analysis.pdf |