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The Scientific World Journal
Volume 2013 (2013), Article ID 394758, 5 pages
http://dx.doi.org/10.1155/2013/394758
Research Article

Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews

1University of Computer Studies, Mandalay, Myanmar
2Machine and Research Department, University of Computer Studies, Mandalay, Myanmar

Received 26 August 2013; Accepted 30 September 2013

Academic Editors: A. I. Ban, P. Miranda, and X.-P. Wang

Copyright © 2013 Su Su Htay and Khin Thidar Lynn. 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 [11 citations]

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

  • Saif A. Ahmad Alrababah, Keng Hoon Gan, and Tien-Ping Tan, “Mining opinionated product features using WordNet lexicographer files,” Journal of Information Science, pp. 016555151666765, 2016. View at Publisher · View at Google Scholar
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  • Rushtin Chaklader, and Matthew B. Parkinson, “Data-Driven Sizing Specification Utilizing Consumer Text Reviews,” Journal of Mechanical Design, Transactions of the ASME, vol. 139, no. 11, 2017. View at Publisher · View at Google Scholar
  • Feras Al-Obeidat, and Bruce Spencer, “Identifying Major Tasks from On-line Reviews,” Procedia Computer Science, vol. 113, pp. 217–222, 2017. View at Publisher · View at Google Scholar
  • Yuanchao Liu, Junqi Wang, and Xiaolong Wang, “Learning to Recognize Opinion Targets using Recurrent Neural Networks,” Pattern Recognition Letters, 2018. View at Publisher · View at Google Scholar
  • Susan Sabra, Khalid Mahmood Malik, and Mazen Alobaidi, “Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives,” Computers in Biology and Medicine, 2018. View at Publisher · View at Google Scholar