Abstract
User reviews and comments on hotels on the Web are an important information source in travel planning. Knowledge of such comments therefore can be important to the hotel management for quality control. But often it is difficult to find and to follow such information on the Web. We present a system that automatically monitors user comments on the Web from various sites and provides classified summaries of positive and negative features of a hotel.
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References
Aciar, S. (2009). Mining context information from consumer’s reviews. In Proceedings of the Context-Aware Recommender Systems (CARS) Workshop.
Baccianella, S., Esuli, A. & Sebastiani, F. (2009). Multi-facet rating of product reviews. In Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval, ECIR’ 09, 461–472. Berlin, Heidelberg: Springer-Verlag.
Blair-Goldensohn, S., Hannan, K., McDonald, R., Neylon, T., Reis, G. A. & Reynar, J. (2008). Building a sentiment summarizer for local service reviews. In NLPIX2008, Beijing.
Drozdzynski, W., Krieger, H.-U., Piskorski, J., Schäfer, U. & Xu, F. (2004). Shallow Processing with Unification and Typed Feature Structures — Foundations and Applications. Künstliche Intelligenz 1: 17–23.
Esuli, A. & Sebastiani, F. (2006). Sentiwordnet: A publicly available lexical resource for opinion mining. In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC-06).
Haruechaiyasak, C., Kongthon, A., Palingoon, P. & Sangkeettrakarn, C. (2010). Constructing thai opinion mining resource: A case study on hotel reviews. In Proceedings of the Eighth Workshop on Asian Language Resources.
Hu, M. & Liu, B. (2004). Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.
Hummel, R. A. & Zucker, S. W. (1983). On the foundations of relaxation labelling processes. In PAMI.
Ku, L.-W., Huang, T.-H. & Chen, H.-H. (2009). Using morphological and syntactic structures for chinese opinion analysis. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Volume 3.
Liu, B. (2010). Opinion mining and sentiment analysis. Handbook of Natural Language Processing.
Pang, B. & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2(1–2): 1–135.
Popescu, A.-M. & Etzioni, O. (2005). Extracting product features and opinions from reviews. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP).
Steffen, J. (2004). N-Gram Language Modeling for Robust Multi-Lingual Document Classification. In Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC-2004), 731–734, Lisboa. ELRA.
Waltinger, U. (2010). GermanPolarityClues: A lexical resource for German sentiment analysis. Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC-2010), Malta.
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Kasper, W., Vela, M. (2012). Monitoring and Summarization of Hotel Reviews. In: Fuchs, M., Ricci, F., Cantoni, L. (eds) Information and Communication Technologies in Tourism 2012. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1142-0_41
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DOI: https://doi.org/10.1007/978-3-7091-1142-0_41
Publisher Name: Springer, Vienna
Print ISBN: 978-3-7091-1141-3
Online ISBN: 978-3-7091-1142-0