Automatic evaluation of document classification using n-gram statistics

Proceedings of the 2012 15th International Conference on Network-Based Information Systems, NBIS 2012

Volumn , Issue , 2012, Pages 739-742

  Choi, Dongjin ^a   Ko, Byeongkyu ^a   Lee, Eunji ^a   Hwang, Myunggwon ^b   Kim, Pankoo ^a  

^a Chosun University   (South Korea)

^b Korea Institute of Science and Technology   (South Korea)

Author keywords

document classification; formatting; N gram; Natural Language Processing

Indexed keywords

AUTOMATIC EVALUATION; CO-OCCURRENCE STATISTICS; DOCUMENT CLASSIFICATION; FORMATTING; HUMAN LANGUAGE; N-GRAM; N-GRAM STATISTICS; NATURAL LANGUAGE PROCESSING; SIMPLE APPROACH; UNSOLVED PROBLEMS; WEB DOCUMENT; WEB TECHNOLOGIES;

INFORMATION SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; WORLD WIDE WEB;

INFORMATION RETRIEVAL SYSTEMS;

EID: 84870849542     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NBiS.2012.96     Document Type: Conference Paper

References (11)

1. G. Salton and C. Buckley, "Term-weighting approaches in automatic text retrieval," information processing and management, pp. 322-328, 1998.
2. G. Salton, A. Wong, and C. S. Yang, "A Vector Space Model for Automatic Indexing," Communication of the ACM, vol. 18, issue. 11, pp. 613-620, 1975.
3. P. Soucy and G. W. Mineau, "Beyond TFIDF Weighting for Text Categorization in the Vector Space Model," Proc. 19th internatinal joint conference on Artificial intelligence, pp. 1130-1135, 2005.
4. M. Hwang, D. Choi, J. Choi, H. Kim, and P. Kim, "Similarity Measure for Semantic Document Interconnections," An International Interdisciplinary Journal, vol. 13, no. 2, 2010.
5. M. Hwang, D. Choi, and P. Kim, "A Method for Knowledge Base Enrichment using Wikipedia Document Information," An International Interdisciplinary Journal, vol. 13, no. 5, 2010.
6. M. Siu and M. Ostendorf, "Variable N-Grams and Extensions for Conversational Sppech Language Modeling," Proc. IEEE Transactions on Speech and Audio, vol. 8, no. 1, 2000.
7. X. Wang, A. McCallum, and X. Wei, "Topical N-grams: Phrase and Topic Discovery with an Application to Information Retrieval," Proc. 7th IEEE International Conference on Data Mining, pp. 697-702, 2007.
8. W. B. Cavnar and J. M. Trenkle, "N-Gram-Based Text Categorization," Proc. 3rd Annual Symposium on Document Analysis and Information Retrieval, 1994.
9. V. Keselj, F. Peng, N. Cercone, and T. Thomas, "N-gram based author profiles for autorship attribution," Proc. Pacific Association for Computational Linguistics, 2003
10. D. Choi, M. Hwang, B. Ko, and P. Kim, "Solving English Questions through Applying Collective Intelligence," Communications in Computer and Information Science, vol. 184, pp. 37-46, 2011.
11. D. Choi, B. Ko, M. Hwang, and P. Kim, "Building Knowledge Domain N-Gram Model for Mobile Devices," An International Interdisciplinary Journal, vol. 14, no. 11, 2011.