Bess or xbest: Mining the Malaysian online reviews

Norlela Samsudin, Mazidah Puteh, Abdul Razak Hamdan

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

13 Citations (Scopus)

Abstract

Advancement in information and technology facilities especially the Internet has changed the way we communicate and express opinions or sentiments on services or products that we consume. Opinion mining aims to automate the process of mining opinions into the positive or the negative views. It will benefit both the customers and the sellers in identifying the best product or service. Although there are researchers that explore new techniques of identifying the sentiment polarization, few works have been done on opinion mining created by the Malaysian reviewers. The same scenario happens to micro-text. Therefore in this study, we conduct an exploratory research on opinion mining of online movie reviews collected from several forums and blogs written by the Malaysian. The experiment data are tested using machine learning classifiers i.e. Support VectorMachine, Nave Baiyes and k-Nearest Neighbor. The result illustrates that the performance of these machine learning techniques without any preprocessing of the micro-texts or feature selection is quite low. Therefore additional steps are required in order to mine the opinions from these data.

Original languageEnglish
Title of host publicationConference on Data Mining and Optimization
Pages38-43
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 3rd Conference on Data Mining and Optimization, DMO 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 3rd Conference on Data Mining and Optimization, DMO 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Learning systems
Blogs
Feature extraction
Classifiers
Internet
Polarization
Experiments

Keywords

  • Malaysian
  • movie reviews
  • opinion mining
  • Sentiment mining

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

Cite this

Samsudin, N., Puteh, M., & Hamdan, A. R. (2011). Bess or xbest: Mining the Malaysian online reviews. In Conference on Data Mining and Optimization (pp. 38-43). [5976502] https://doi.org/10.1109/DMO.2011.5976502

Bess or xbest : Mining the Malaysian online reviews. / Samsudin, Norlela; Puteh, Mazidah; Hamdan, Abdul Razak.

Conference on Data Mining and Optimization. 2011. p. 38-43 5976502.

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

Samsudin, N, Puteh, M & Hamdan, AR 2011, Bess or xbest: Mining the Malaysian online reviews. in Conference on Data Mining and Optimization., 5976502, pp. 38-43, 2011 3rd Conference on Data Mining and Optimization, DMO 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/DMO.2011.5976502
Samsudin N, Puteh M, Hamdan AR. Bess or xbest: Mining the Malaysian online reviews. In Conference on Data Mining and Optimization. 2011. p. 38-43. 5976502 https://doi.org/10.1109/DMO.2011.5976502
Samsudin, Norlela ; Puteh, Mazidah ; Hamdan, Abdul Razak. / Bess or xbest : Mining the Malaysian online reviews. Conference on Data Mining and Optimization. 2011. pp. 38-43
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