KP-Miner: A keyphrase extraction system for English and Arabic documents

Information Systems

Volumn 34, Issue 1, 2009, Pages 132-144

  El Beltagy, Samhaa R ^a   Rafea, Ahmed ^b  

^a Cairo University   (Egypt)

^b The American University in Cairo   (Egypt)

Author keywords

Automatic indexing; Heuristic rules; Keyphrase extraction

Indexed keywords

AUTOMATIC INDEXING; DECISION SUPPORT SYSTEMS; HEURISTIC METHODS; INFORMATION MANAGEMENT; MINERS;

CONFIGURABLE; DOCUMENT SETS; GENERAL NATURES; HEURISTIC RULES; KEYPHRASE EXTRACTION; KEYPHRASE EXTRACTIONS;

FEATURE EXTRACTION;

EID: 55549106775     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2008.05.002     Document Type: Article

References (24)

1. Turney P.D. Learning algorithms for keyphrase extraction. Information Retrieval 2 3 (2000) 303-336
2. Hulth A., and Megyesi B. A study on automatically extracted keywords in text categorization. 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (CoLing/ACL 2006). Sydney (2006) 124-154
3. K. Englmeier, F. Murtaghì, J. Mothe, Domain Ontology: Automatically Extracting and Structuring Community Language from Texts, IADIS Applied Computing, Spain, Espagne, 2007.
4. Witten I.H., et al. KEA: Practical automatic keyphrase extraction. The Fourth ACM Conference on Digital Libraries (1999)
5. Krulwich B., and Burkey C. Learning user information interests through the extraction of semantically significant phrases. AAAI Spring Symposium on Machine Learning in Information Access, Stanford, CA (1996)
6. P.D. Turney, Learning to extract keyphrases from text, Technical Report ERB-1057, National Research Council, Institute for Information Technology, 1999.
7. P.D. Turney, Extractor, 2005. 〈http://www.extractor.com〉.
8. Lovins J.B. Development of a stemming algorithm. Mech. Translat. Comput. Linguistics 11 (1968) 22-31
9. Hulth A. Improved automatic keyword extraction given more linguistic knowledge. Conference on Empirical Methods in Natural Language Processing (EMNLP 2003) (2003)
10. Porter M. An algorithm for suffix stripping. Program 14 3 (1980) 130-137
11. E.D. Avanzo, B. Magnini, A. Vallin, Keyphrase extraction for summarization purposes: the LAKE System at DUC2004, in: The Document Understanding Workshop, HLT/NAACL Annual Meeting, Boston, USA, 2006.
12. C. Huang, et al., Keyphrase extraction using semantic networks structure analysis, in: The Sixth International Conference on Data Mining (ICDM '06), Hong Kong, 2006.
13. Turney P.D. Coherent Keyphrase Extraction via Web Mining (2003), IJCAI, Mexico
14. Chen M., et al. A practical system of keyphrase extraction for web pages. CIKM'05. Bremen, Germany (2005)
15. D. Kelleher, S. Luz, Automatic hypertext keyphrase detection, IJCAI'05. Edinburgh, UK, 2005.
16. El-Beltagy S.R., and Miner K.P. A simple system for effective keyphrase extraction. The Third IEEE International Conference on Innovations in Information Technology (IIT '06), Dubai, UAE (2006)
17. Salton G., and Buckley C. Term-weighting approaches in automatic text retrieval. Info. Process. Manage. 24 5 (1988) 513-523
18. Larkey L.S., Ballesteros L., and Connell M.E. Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis. SIGIR'02, Tampere, Finland (2002)
19. S. Khoja, R. Garside, Stemming Arabic text, Technical Report, Computing Department, Lancaster University, Lancaster, 1999. 〈http://www.comp.lancs.ac.uk/computing/users/khoja/stemmer.ps〉 .
20. S.R. El-Beltagy, A framework for the rapid development of dictionary based domain specific Arabic stemmers, Technical Report (TR/COE_WM/12/12/2007) Center of Excellence for Data Mining and Computer Modeling, 2007.
21. Wikipedia, Wikipedia, the free encyclopedia. 〈http://ar.wikipedia.org/wiki/Main_Page〉, 2007.
22. AGROVOC. Multilingual Agricultural Thesaurus (2007), Food and Agricultural Organization of the United Nations. 〈http://www.fao.org/agrovoc/〉
23. Sakhr, The Sakhr Keyword Extractor, 2007. 〈http://www.sakhr.com/Technology/Keyword/Default.aspx?sec=Technolog y&item=Keyword〉.
24. Sakhr, 2007. 〈http://www.sakhr.com/〉.