Abstract
We consider the problem of automatic classification of text documents, in particular, scientific abstracts and use two types of classifiers: ordinal and numerical. For the first type we use a fuzzy extension of the Borda voting method while for the second type we use a fuzzy Borda method in combination with the semantic grading.
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References
Alcaide, D.: Ranking of ecological risks related to wastewater management. In: Zaidi, M.K. (ed.) Wastewater Reuse - Risk Assessment, Decision-Making and Environmental Security. Proceedings of the NATO Advanced Research Workshop, Istanbul, Turkey, 12-16 (October 2006). NATO Science for Peace and Security Series, Springer, Heidelberg (2007)
Alexandrov, M., Gelbukh, A., Makagonov, P.: Some keyword-based characteristics for evaluation of thematic structure of multidisciplinary documents. In: Proc. of Intern. Conf. CICLing 2000 (2000)
Alexandrov, M., Gelbukh, A., Rosso, P.: An approach to clustering abstracts. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 275–285. Springer, Heidelberg (2005)
Cortes, C., Vapnik, V.: Support vector networks. Machine learning 20, 273–297 (1995)
Craven, M., DiPasquo, D., Freitag, D., McCallum, A., Mitchell, T., Nigam, K., Slattery, S.: Learning to extract symbolic knowledge from the World Wide Web. In: Proceedings of the Fifteenth National Conference on Artificial Intellligence (AAAI-98), pp. 509–516 (1994)
Garcia-Lapresta, J.L., Martinez-Panero, M.: A fuzzy Borda count in multi-person decisin making. In: Trzaskalik, T., Michnik, J. (eds.) Multiple objective and goal programming: Recent Developments, Springer, Heidelberg (2002)
Han, E.S., Karypis, G., Kumar, V.: Text categorization using weight adjusted k-nearest neighbour classification. In: Cheung, D., Williams, G.J., Li, Q. (eds.) PAKDD 2001. LNCS (LNAI), vol. 2035, pp. 53–65. Springer, Heidelberg (2001)
Lang, K.: Newsweeder: Learning to filter netnews. In: Machine Learning: Proceedings of the Twelfth International Conference (ICML 1995), pp. 331–339 (1995)
Levis, D., Ringuette, M.: A comparison of two learning algorithms for text classification.In: the 3rd Symposium on Document Analysis and Information Retrieval, pp. 81–93 (1994)
Levner, E., Alcaide, D., Benayahu, Y.: Environmental risk ranking: Theory and applications for emergency planning. Scientific Israel - Technological Advantages 8(1-2), 11–21 (2006)
Mahdavi, I., Sharma, R.R.K., Amiri, Z.R.: Formulation for web document classification: transforming the quadratic problem into 0-1 integer linear. International Journal of Digital Management 1 (1), 63–70 (2006)
Makagonov, P., Alexandrov, M., Gelbukh, A.: Selection of typical documents in a document flow. In: Mastorakis, N., Kluev, V.(eds.) Advances in Communications and Software Technologies, pp. 197–202, WSEAS Press (2002) ISBN 960-8052-71-8
Mamdani, E.H.: Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Transactions on Computers C-26(12), 1182–1191 (1977)
MATLAB 2005, Fuzzy logic toolbox user’s guide The MathWorks, Inc (2005)
Pazzani, M.J., Muramatsu, J., Billsus, D.: Syskill and Webert: Identifying interesting Web sites. In: Proceedings of the 13 National Conference on Artificial Intelligence, pp. 54–56 (1996)
Stein, B., Meyer zu Eissen, S.: Automatic document categorization: interpreting the performance of clustering algorithms. In: Günter, A., Kruse, R., Neumann, B. (eds.) KI 2003. LNCS (LNAI), vol. 2821, pp. 254–266. Springer, Heidelberg (2003)
Stein, B., Niggemann, O.: On the nature of structure and its identification. In: Widmayer, P., Neyer, G., Eidenbenz, S. (eds.) WG 1999. LNCS, vol. 1665, pp. 122–134. Springer, Heidelberg (1999)
Yang, Y., Pedersen, J.P.: Feature selection in statistical learning of text categorization. In: Proceedings of the Fourteenth International Conference on Machine Learning, pp. 412–420 (1997)
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Levner, E., Alcaide, D., Sicilia, J. (2007). Multi-attribute Text Classification Using the Fuzzy Borda Method and Semantic Grades. In: Masulli, F., Mitra, S., Pasi, G. (eds) Applications of Fuzzy Sets Theory. WILF 2007. Lecture Notes in Computer Science(), vol 4578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73400-0_53
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DOI: https://doi.org/10.1007/978-3-540-73400-0_53
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