Text learning and hierarchical feature selection in webpage classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5139 LNAI, Issue , 2008, Pages 452-459

  Peng, Xiaogang ^a   Ming, Zhong ^a   Wang, Haitao ^a  

^a SHENZHEN UNIVERSITY   (China)

Author keywords

Category hierarchy; Feature selection; Text learning; Web page classification

Indexed keywords

DATA MINING; FEATURE EXTRACTION; TEXT PROCESSING; WEBSITES;

CATEGORY HIERARCHY; CLASSIFICATION ALGORITHM; CLASSIFICATION RESULTS; FEATURE SELECTION METHODS; HIERARCHICAL INFORMATION; TEXT LEARNING; WEB PAGE CLASSIFICATION; WEBPAGE CLASSIFICATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 68749092239     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88192-6_43     Document Type: Conference Paper

References (15)

1. Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J.: Learning Hierarchical Multi-Category Text Classification Models. In: Proceedings of 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany (2005)
2. Yahoo.: http://www.Yahoo.com
3. Kan, M.-Y., Thi, H.O.N.: Fast webpage classification using URL features. In: Proc. of Conf. on Info. and Knowledge Management (CIKM 2005), Germany (2005)
4. Dumais, S., Chen, H.: Hierarchical Classification of Web Content. In: Proceedings of SIGIR 2000, 23rd ACM International Conference on Research and Development in Information Retrieval (2000)
5. Koller, D., Sahami, M.: Hierarchically classifying documents using very few words. In: Proceedings of the 14th international Conference on Machine Learning ECML 1998 (1998)
6. Lang, K.: Newsweeder: Learning to filter news. In: Proceedings of the 12th International Conference on Machine Learning, pp. 331-339 (1995)
7. Mladenic, D., Grobelnik, M.: Word sequences as features in text-learning. In: Proceedings of ERK 1998, the Seventh Electro-technical and Computer Science Conference, pp. 145-148 (1998)
8. Chan, P.K.: A non-invasive learning approach to building web user profiles. In: KDD 1999 Workshop on Web Usage Analysis and User Profiling (1999)
9. Salton, G., Buckley, C.: Term Weighting Approaches in Automatic Text Retrieval. Technical Report, COR-87-881, Department of Computer Science, Cornell University (1987)
10. Joachims, T.: A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In: International Conference on Machine Learning (ICML) (1997)
11. Dominggos, P., Pazzani, M.: On the optimality of the simple Baysian classifier under zero-one loss. Machine learning 29, 103-130 (1997)
12. Yang, Y., Pedersen, O.J.: A comparative Study o Feature Selection in Text Categorization. In: Proc. of the fifth International Conference on Machine Learning ICML 1997, pp. 412-420 (1997)
13. Paice, C.D.: Constructing Literature Abstracts by Computer: Techniques and Prospects. Information Processing and Management 26(1), 171-186 (1990)
14. Mladenic, D.: Machine Learning on non-homogeneous, distributed text data. Ph.D thesis. University of Ljubljana, Slovenia (1998)
15. Labrou, Y., Finin, T.: Yahoo! as an ontology - using Yahoo! Categories to Describe Document. In: CIKM 1999. Proceedings of the Eighth International Conference on Knowledge and Information Management, pp. 180-187. ACM, New York (1999)