Research in Keyphrase Extraction

Article Preview

Abstract:

The purpose of this study is to review on keyphrase extraction research from science citation index expanded (SCI-EXPANED) database on web of science. The result indicates that the number of literature productions on this topic mainly distributes in recent 10 years, reaching climax in 2005 and then followed by 2010. The primary research development country is China. From the analysis result of document type, proceedings paper accounts for 50%. In general, the related research topics can be classified into keyphrase extraction for oriental language documents, English documents and bilingual documents. Hebrew documents and Chinese documents as oriental language documents have been the main objects for keyphrase extraction. Meanwhile keyphrase extraction for bilingual documents has been stressed on English and Arabic documents. Meanwhile recommendation is the focus for keyphrase extraction in English documents.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

768-772

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Pudota Nirmala, et, al. Automatic Keyphrase Extraction and Ontology Mining for Content-Based Tag Recommendation. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2010; 25(12): 1158-1186.

DOI: 10.1002/int.20448

Google Scholar

[2] Wan Xiaojun, Xiao Jianguo. Exploiting Neighborhood Knowledge for Single Document Summarization and Keyphrase Extraction. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2010; 28(2).

DOI: 10.1145/1740592.1740596

Google Scholar

[3] El-Beltagy Samhaa R.; Rafea Ahmed. KP-Miner: A keyphrase extraction system for English and Arabic documents. INFORMATION SYSTEMS, 2009; 34(1): 132-144.

DOI: 10.1016/j.is.2008.05.002

Google Scholar

[4] Mangina Eleni; Kilbride John. Evaluation of keyphrase extraction algorithm and tiling process for a document/resource recommender within e-learning environments. COMPUTERS & EDUCATION, 2008; 50(3): 807-820.

DOI: 10.1016/j.compedu.2006.08.012

Google Scholar

[5] Hacohen-Kerner Yaakov, et al. Automatic machine learning of keyphrase extraction from short HTML documents written in Hebrew. CYBERNETICS AND SYSTEMS, 2007; 38(1): 1-21.

DOI: 10.1080/01969720600998546

Google Scholar

[6] Gulla Jon Atle, et, al. Unsupervised keyphrase extraction for search ontologies. LECTURE NOTES IN COMPUTER SCIENCE, 2006; 3999: 25-36.

DOI: 10.1007/11765448_3

Google Scholar

[7] Hammouda KM; Matute DN; Kamel MS. CorePhrase: Keyphrase extraction for document clustering. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2005, 3587: 265-274.

DOI: 10.1007/11510888_26

Google Scholar

[8] Kilbride J; Mangina E. Automated keyphrase extraction: Assisting students in the search for online materials. LECTURE NOTES IN COMPUTER SCIENCE, 2005; 3528: 225-230.

DOI: 10.1007/11495772_35

Google Scholar

[9] Wang HF; Li SJ; Yu SW . Automatic keyphrase extraction from chinese news documents. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2005; 3614: 648-657.

DOI: 10.1007/11540007_80

Google Scholar

[10] Huang XC, et, al. Word segmentation and POS tagging for Chinese keyphrase extraction. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2005; 3584: 364-369.

DOI: 10.1007/11527503_44

Google Scholar

[11] Gayo-Avello D; Alvarez-Gutierrez D; Gayo-Avello J. Naive algorithms for keyphrase extraction and text summarization from a single document inspired by the protein biosynthesis process. LECTURE NOTES IN COMPUTER SCIENCE, 2004; 3141: 440-455.

DOI: 10.1007/978-3-540-27835-1_32

Google Scholar

[12] Chien LF. PAT-tree-based adaptive keyphrase extraction for intelligent Chinese information retrieval. INFORMATION PROCESSING & MANAGEMENT, 1999; 35(4): 501-521.

Google Scholar