A corpus-based investigation of junk emails

Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002

Volumn , Issue , 2002, Pages 1773-1779

  Orasan, Constantin ^a   Krishnamurthy, Ramesh ^a  

^a UNIVERSITY OF WOLVERHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS;

BUSINESS OPPORTUNITIES; COMMERCIAL PRODUCTS; CORPUS-BASED; LINGUISTIC FEATURES;

ELECTRONIC MAIL;

EID: 84894674450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Ion Androutsopoulos, John Koutsias, Konstantinos Chandrinos, Constantine D. Spyropoulos, 2000 An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages. In Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, (SIGIR2000), July 24-28, Athens, Greece, pp. 160-167.
2. Andrei Z. Broder, 1998 On the resemblance and containment of documents. In Compression and Complexity of Sequences (SEQUENCES'97). pp. 21 - 29, IEEE Computer Society.
3. Lou Burnard, 1995 Users Reference Guide: British National Corpus Version 1.0, Oxford University Computing Services, UK.
4. Xavier Carreras and Lluis Marquez, 2001: Boosting trees for anti-spam email filtering, In Proceedings of RANLP2001, Tzigov Chark, Bulgaria, pp. 58 - 64.
5. J. Postel, 1975 On the junk mail problem. Network working Group Request for Comments: 706, NIC #33861, November, http://www.faqs.org/rfcs/rfc706.html.
6. M. Sahami, S. Dumais, D. Heckerman and E. Horvitz (1998) A Bayesian Approach to Filterin Junk E-amis. In Learning for Text Categorisation - Papers from the AAAI Workshop, pp. 55 - 62, Madison Wisconsin. AAAI Technical Report WS-98-05.
7. John M. Sinclair 2001, Preface. In Ghadessy, M., Henry, A. and Roseberry, R. L. (eds) Small Corpus Studies and ELT: Theory and Practice, John Benjamins.
8. P. Tapanainen and T. Jarvinen, 1997 A non-projective dependency parser. In Proceedings of the 5th Conference of Applied Natural Language Processing, pp. 64 - 71, Washington D.C., USA.