Evaluation of topic identification methods on arabic corpora

Journal of Digital Information Management

Volumn 9, Issue 5, 2011, Pages 185-192

  Abbas, M ^a   Smaili, K ^b   Berkani, D ^c  

^a CRSTDLA   (Algeria)

^b LORIA   (France)

^c ECOLE NATIONALE POLYTECHNIQUE   (Algeria)

Author keywords

Alwatan 2004 corpus; Arabic Language; Neural Network; SVM; Topic Identification; TR; TULM

Indexed keywords

ALWATAN-2004 CORPUS; ARABIC LANGUAGE; SVM; TOPIC IDENTIFICATION; TR; TULM;

COMPUTATIONAL LINGUISTICS; EXPERIMENTS; NEURAL NETWORKS; REAL TIME SYSTEMS; SOFTWARE AGENTS; SPEECH TRANSMISSION; TEXT PROCESSING;

SPEECH RECOGNITION;

EID: 84855410016     PISSN: 09727272     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (41)

1. Yang, Y (1999). An evaluation of statistical approaches to text categorization. Information Retrieval Journal 1(1/2) 67-88.
2. Sebastiani, F (2002). Machine learning in automated text categorization. ACM Computing Surveys 34 (1) 1-47.
3. Seymore, K., Chen, S., Rosenfeld, R (1998). Nonlinear interpolation of topic models for language model adaptation. In: Proc. of the International Conference on Spoken Language Processing, pages 2503-2506, Sydney, Australia.
4. Clifton, C., Cooley, R., Rennie, J (2004) TopCat: Data Mining for Topic Identification in a Text Corpus. IEEE Transactions on Knowledge and Data Engineering 16(8) 949-964.
5. Mahajan, M., Beeferman, D., Huang, X (1999) Improved Topic-dependent Language Modeling using information Retrieval Techniques. In: Proc. of the Int. Conf. on Acoustics, Speech, and Signal Processing, p. 541-544, Phoenix, USA.
6. Martin, S., Liermann, J., Ney, H (1997) Adaptive topicdependent language modelling using word based varigrams. In: Proc. Of the 3rd European Conference on Speech Communication and Technolog, p.1447-1450, Rhodes, Greece.
7. Bigi, B., De Mori, R., El-Bèze, M, Spriet, T (2000) A Fuzzy Decision Strategy for Topic Identification and Dynamic Selection of Language Models. Special Issue on Fuzzy Logic, in Signal Processing, Signal Processing Journal, 80 (6) 1085-1097.
8. Bigi, B., Brun, A., Haton, J.P., Smaili, K., Zitouni, I (2001). Dynamic topic identification: Towards combination of methods, In: Proc. of the Recent Advances in Natural Language Processing (RANLP'01), p. 255-257, Tzigov Chark, Bulgary.
9. Abbas, M (2008). Topic Identification for Automatic Speech Recognition, Phd thesis, Electrical and Computer Engineering Department, National Polytechnic School, Algiers.
10. Abbas, M., Smaili, K., Berkani, D (2009). A Trigger-based Classifier, In: The 2nd international conference on Arabic Language Resources and Tools, 22-23 April, Egypt.
11. Abbas, M., Smaili, K., Berkani, D (2009). Comparing TRClassifier and kNN by using Reduced Sizes of Vocabularies. In: Proc. of the 3rd International Conference on Arabic Language Processing, p. 1-4. Rabat, Morocco.
12. Abbas, M., Smaili, K., Berkani, D (2009). Topic Identification for Arabic Texts. Journal of Computer Science and Engineering in Arabic 2(3) 9-21.
13. Al-Harbi, S., Almuhareb, A., Al-Thubaity, A., Khorsheed, M. S., Al-Rajeh, A (2008). Automatic Arabic Text Classification. 9es Journees Internationales d'Analyse Statistique des Donnees Textuelles JADT, p. 77-83, Lyon, France.
14. El-Kourdi, M., Bensaid, A., Rachidi, T (2004). Automatic Arabic Document Categorization Based on the Naïve Bayes Algorithm. In: Proc. Of the Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages, pages 51-58, Geneva, Switzerland.
15. Sawaf, H., Zaplo, J., Ney, H (2001). Statistical Classification Methods for Arabic News Articles, In: Arabic Natural Language Processing in ACL 2001, Toulouse, France.
16. El-Halees, A (2006). Mining Arabic Association Rules for Text Classification, In: Proc. of the 1st international conference on Mathematical Sciences, p. 15-17, Al-Azhar University of Gaza, Palestine.
17. Syiam, M. M., Fayed, Z. T., Habib, M. B (2006). An Intelligent System for Arabic Text Categorization. IJICIS 6 (1) 1-19.
18. Duwairi, R., Al-Refai, M., Khasawneh, N (2007). Stemming Versus Light Stemming as Feature Selection Techniques for Arabic Text Categorization, In: 4th International Conference on Innovations in Information Technology, p. 446-450, Dubai, UAE.
19. Yang, Y., Pedersen, J. O (1997). A comparative study on feature selection in text categorization. In: Proc. of the 14th International Conference on Machine Learning, pages 412-420, San Francisco, US.
20. Brun, A. 2003. Topic Detection and Language Model adaptation for automatic Speech Recognition. PhD thesis, Henri Poincare University, Nancy1, France.
21. HaCohen-Kerner, Y., Mughaz, D., Beck, H., Yehuda, E (2008). Words as Classifiers of Documents according to their Historical Period and the Ethnic Origin of their Authors. Cybernetics and Systems 39 (3) 213-228. (Pubitemid 351599503)
22. Joachims, T (1996). A probabilistic analysis of the rocchio algorithm with tfidf for text categorization. Technical report, School of Computer Science Carnegie Mellon University Pittsburgh.
23. Salton, G. 1991. Developments in automatic text retrieval, Science 253. 974-979.
24. Seymore, K., Rosenfeld, R (1997). Using story topics for language model adaptation. In: Proc. of the European Conference on Speech Communication and Technology, pages 2-5, Rhodes, Greece.
25. Mitchell, T (1996). Machine Learning. McGraw Hill.
26. Wiener, E., Pedersen, J.O., Weigend, A.S (1995). A neural network approach to topic spotting. In: Proc. of the Fourth Annual Symposium on Document Analysis and Information Retrieval (SDAIR'95), p. 317-332, 1995.
27. Ng, H.T., Goh, W.B., Low, K.L (1997). Feature selection, perceptron learning, and a usability case study for text categorization. In: Proc. Of the 20th Ann Int ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'97), p. 67-73, 1997. (Pubitemid 127720306)
28. Harrag, F., Al-Qawasmah, E. (2010). Improving Arabic Text Categorization Using Neural Network with SVD. Journal of Digital Information Management 8 (4) 233-239.
29. Rosenfeld, R (1994). Adaptive Statistical Language Modeling: A Maximum Entropy Approach, PhD thesis, Computer Science Department, Carnegie Mellon University.
30. Haton, J.P., Cerisara, C., Fohr, D., Laprie, Y., Smaili, K(2006). Speech Recognition from signal to its interpretation, Dunod, France. 392.
31. GuoDong, Z., KimTeng, L (1999). Interpolation of n-gram and mutual information based trigger pair language models for Mandarin speech recognition. Computer Speech and Language 13. 125-141.
32. Tillman, C., Ney, H (1996). Selection criteria for word trigger pairs in language modeling, In: Laurent Miclet and Colin de la Higuera, editors, Grammatical inference: Learning syntax from sentences. Lecture Notes in Artificial Intelligence, 1147 95-106. (Pubitemid 126134586)
33. Vapnik, V. N (1998). Statistical Learning Theory. John Wiley and Sons, Inc., N.Y. 736.
34. Lee, Y., Lin, Y.,Wahba, G. (2004). Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data, Journal of the American Statistical Association 99 (465) 67-81. (Pubitemid 38545195)
35. Guermeur, Y., Elisseeff, A., Paugam-Moisy, H (2000). A new multi-class SVM based on a uniform convergence result. IJCNN'00, 4 183-188.
36. Bredensteiner, E. J., Bennet, K. P (1999). Multicategory Classification by Support Vector Machines Computational Optimizations and Applications. 12. 53-79. (Pubitemid 129574925)
37. Guermeur, Y., Pollastri, G., Elisseeff, A., Zelus, D., Paugam- Moisy, H., Baldi, P (2004). Combining Protein Secondary Structure Prediction Models with Ensemble Methods of Optimal Complexity Neurocomputing 56. 305-327. (Pubitemid 38145630)
38. Bigi, B., Brun, A., Haton, J.P., Smaili, K., Zitouni, I (2001). A Comparative Study of Topic Identification on Newspaper and E-mail, In: Proc. of the IEEE International Conference on String Processing and Information Retrieval, p. 238-241, Chile.
39. Abbas, M., Smaili, K., Berkani, D (2009). Multi-Category Support Vector Machines for Identifying Arabic Topics. Research in Computing Science: Advances in Computational Linguistics 41. 217-226.
40. Alsaleem, S (2011) Automated Arabic Text Categorization using SVM and NB, International Arab Journal of e-Technology 2(2) 124-128.
41. MESLEH, A (2007) Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System, Journal of Computer Science 3(6) 430-435.