Software quality in use characteristic mining from customer reviews

2012 2nd International Conference on Digital Information and Communication Technology and its Applications, DICTAP 2012

Volumn , Issue , 2012, Pages 434-439

  Leopairote, Warit ^a   Surarerks, Athasit ^a   Prompoon, Nakornthip ^a  

^a CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

ontology; opinion mining; rule based classification; software quality

Indexed keywords

CUSTOMER REVIEW; OPINION MINING; PRODUCT REVIEWS; QUALITY IN USE; QUALITY MODELS; RULE-BASED CLASSIFICATION; SOFTWARE CHARACTERISTIC; SOFTWARE ENGINEERS; SOFTWARE PRODUCT QUALITY; SOFTWARE PRODUCTS; SOFTWARE QUALITY; SOFTWARE QUALITY MODELS;

COMMUNICATION; INFORMATION TECHNOLOGY; KNOWLEDGE BASED SYSTEMS; ONTOLOGY; SALES;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 84863688045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTAP.2012.6215397     Document Type: Conference Paper

References (16)

1. P. Resnick and H. R. Varian, "Recommender systems," Communications of the ACM, vol. 40, no. 3, 1997, pp. 56-58.
2. K. Dave, S. Lawrence, and D. M. Pennock, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews," in Proceedings of the 12th international conference on World Wide Web, 2003, pp. 519-528.
3. ISO/IEC 9126-1: Software Engineering - Product Quality - Part 1: Quality model, International Organization for Standardization - ISO, Geneva, 2001.
4. B. Pang and L. Lee, "Opinion Mining and Sentiment Analysis,"Foundations and Trends® in Information Retrieval, vol. 2, no. 1-2, 2008, pp. 1-135.
5. L. Zhou and P. Chaovalit, "Ontology-supported polarity mining,"Journal of the American Society for Information Science and Technology, vol. 59, no. 1, 2008, pp. 98-110.
6. L. Zhao and C. Li, "Ontology Based Opinion Mining for Movie Reviews", KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management, 2009, pp. 204- 214.
7. S. Aciar, D. Zhang, S. Simoff, and J. Debenham, "Informed recommender: Basing recommendations on consumer product reviews", Intelligent Systems, IEEE, vol. 22, no. 3, 2007, pp. 39-47. (Pubitemid 46883394)
8. G. a. Miller, "WordNet: a lexical database for English", Communications of the ACM, vol. 38, no. 11, pp. 39-41, Nov. 1995.
9. The General Inquirer: http://www.wjh.harvard.edu/~inquirer/
10. M. Hu and B. Liu, "Mining and summarizing customer reviews", Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004, pp. 168-177.
11. I. Peñalver-Martínez,R. Valencia-García and F. García-Sánchez, "Ontology-guided approach to feature-based opinion mining", in Natural Language Processing and Information Systems, 2011, pp. 193-200.
12. P. D. Turney, "Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews", Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, 2002, pp. 417-424.
13. L. Tan, J. Na, Y. Theng, and K. Chang, "Sentence-Level Sentiment Polarity Classification Using a Linguistic Approach", Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, 2011, pp. 77-87.
14. M. A. Moraga, M. F. Bertoa, M. C. Morcillo, C. Calero, and A. Vallecillo, "Evaluating Quality-in-Use Using Bayesian Networks,"Proc. of QAOOSE, 2008.
15. S.M. Weiss, N. Indurkhya, T. Zhang and F.J. Damerau,Text Mining: Predictive Methods for Analyzing Unstructured Information, Springer, 2004.
16. ISO 9001:2000, Quality Management Systems-Requirements: ISO,2000.