Sentiment classification of customer reviews based on fuzzy logic

Samaneh Nadali, Masrah Azrifah Azmi Murad, Abdul Kadir Rabiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10
Pages1037-1044
Number of pages8
Volume2
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 International Symposium on Information Technology, ITSim'10 - Kuala Lumpur
Duration: 15 Jun 201017 Jun 2010

Other

Other2010 International Symposium on Information Technology, ITSim'10
CityKuala Lumpur
Period15/6/1017/6/10

Fingerprint

Fuzzy logic
Linguistics
Semantics
Data mining
Industry

Keywords

  • Fuzzy logic
  • Opinion mining
  • Sentiment classification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Nadali, S., Murad, M. A. A., & Rabiah, A. K. (2010). Sentiment classification of customer reviews based on fuzzy logic. In Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10 (Vol. 2, pp. 1037-1044). [5561583] https://doi.org/10.1109/ITSIM.2010.5561583

Sentiment classification of customer reviews based on fuzzy logic. / Nadali, Samaneh; Murad, Masrah Azrifah Azmi; Rabiah, Abdul Kadir.

Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10. Vol. 2 2010. p. 1037-1044 5561583.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nadali, S, Murad, MAA & Rabiah, AK 2010, Sentiment classification of customer reviews based on fuzzy logic. in Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10. vol. 2, 5561583, pp. 1037-1044, 2010 International Symposium on Information Technology, ITSim'10, Kuala Lumpur, 15/6/10. https://doi.org/10.1109/ITSIM.2010.5561583
Nadali S, Murad MAA, Rabiah AK. Sentiment classification of customer reviews based on fuzzy logic. In Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10. Vol. 2. 2010. p. 1037-1044. 5561583 https://doi.org/10.1109/ITSIM.2010.5561583
Nadali, Samaneh ; Murad, Masrah Azrifah Azmi ; Rabiah, Abdul Kadir. / Sentiment classification of customer reviews based on fuzzy logic. Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10. Vol. 2 2010. pp. 1037-1044
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