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The Scientific World Journal
Volume 2014, Article ID 340583, 9 pages
Research Article

Critical Product Features’ Identification Using an Opinion Analyzer

1Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
2COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
3Federal Urdu University of Arts, Science and Technology, Islamabad 44000, Pakistan

Received 21 May 2014; Revised 4 September 2014; Accepted 15 September 2014; Published 24 November 2014

Academic Editor: Christian Baumgartner

Copyright © 2014 Azra Shamim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Laila Abd-Elhamid, Doaa Elzanfaly, and Ahmed Sharaf Eldin, “Feature-based sentiment analysis in online Arabic reviews,” 2016 11th International Conference on Computer Engineering & Systems (ICCES), pp. 260–265, . View at Publisher · View at Google Scholar
  • Saif A. Ahmad Ali Alrababah, Keng Hoon Gan, and Tien-Ping Tan, “Product aspect ranking using sentiment analysis and TOPSIS,” 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP), pp. 13–19, . View at Publisher · View at Google Scholar
  • Vimala Balakrishnan, Kian Ahmadi, and Sri Devi Ravana, “Improving retrieval relevance using users’ explicit feedback,” Aslib Journal of Information Management, vol. 68, no. 1, pp. 76–98, 2016. View at Publisher · View at Google Scholar
  • Monireh Alsadat Mirtalaie, Omar Khadeer Hussain, Elizabeth Chang, and Farookh Khadeer Hussain, “A decision support framework for identifying novel ideas in New Product Development from cross-domain analysis,” Information Systems, 2017. View at Publisher · View at Google Scholar