| Title: |
MOpiS: a Multiple Opinion Summarizer |
| Author(s): |
F. Kokkoras, E. Lampridou, K. Ntonas, I. Vlahavas.
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| Availability: |
Click here to download the PDF (Acrobat Reader) file.
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| Keywords: |
web mining, opinion mining, summarization, ahp.
|
| Appeared in: |
Proc. 5th Hellenic Conference on Artificial Intelligence, LNAI 5138, J. Darzentas et al. (Ed.), Springer-Verlag Berlin Heidelberg, pp. 110-122, Syros, Greece, 2008.
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| Abstract: |
Product reviews written by on-line shoppers is a valuable source of information for potential new customers who desire to make an informed purchase decision. Manually processing quite a few dozens, or even hundreds, of reviews for a single product is tedious and time consuming. Although there exist mature and generic text summarization techniques, they are focused primarily on article type content and do not perform well on short and usually repetitive snippets of text found at on-line shops. In this paper, we propose MOpiS, a multiple opinion summarization algorithm that generates improved summaries of product reviews by taking into consideration metadata information that usually accompanies the on-line review text. We demonstrate the effectiveness of our approach with experimental results. |
| See also : |
DEiXTo
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This paper has been cited by the following:
| 1 |
T.Kobayashi, H.Ohshima, S.Oyama and K.Tanaka, "Evaluating Brand Value on the Web", in proceedings of the 3rd ACM Workshop on Information Credibility on the Web, K.Tanaka, X.Zhou, A.Jatowt (Eds.), WICOW 2009, ACM 2009, ISBN 978-1-60558-488-1, pp.67-74, Madrid, Spain, April 20, 2009 |
| 2 |
G. Garcia Delgado, C. Jose E. Medina Pagola, "Procesamiento de expresiones valorativas para la sumarizacion de opiniones", Reporte Tecnico, Mineria de Datos, Centro de Aplicaciones de Tecnologies de Avanzada (CENAVAT), Cuba, March, 2010 |
| 3 |
Christos Perentis, "Link prediction based on Multi-modal Social Networks", MSc Thesis (in English), Joint Postgraduate Course on "Informatics and Management", Dep. of Informatics / Dep. of Economic Sciences, Aristotle University of Thessaloniki, 2011. |
| 4 |
Weijia You, Mu Xia, Lu Liu, Dan Liu, "Customer knowledge discovery from online reviews", Electron Markets, vol. 22, pp.131-142, 2012. DOI 10.1007/s12525-012-0098-y |
| 5 |
D.Murthy, A.Gross, A.Takata, "Emergent Data Mining Tools for Social Network Analysis", in: Data Mining in Dynamic Social Networks and Fuzzy Systems. Vishal Bhatnagar (Ed.), IGI Global, pp.40-57, 2013. DOI: 10.4018/978-1-4666-4213-3.ch003 |
| 6 |
D.Murthy, A.Gross, A.Takata, S.Bond, "Evaluation and Development of Data Mining Tools for Social Network Analysis", in: Mining Social Networks and Security Informatics, Tansel Özyer, Zeki Erdem, Jon Rokne, Suheil Khoury (Eds.), Lecture Notes in Social Networks 2013, Springer pp.183-202
DOI: 10.1007/978-94-007-6359-3_10 |
| 7 |
Baocheng Huang, Guang Yu, and Hamid Reza Karimi, "The Finding and Dynamic Detection of Opinion Leaders in Social Network", Mathematical Problems in Engineering, Vol. 2014, Hindawi Publishing Corporation, 2014, DOI: 10.1155/2014/328407 |
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