Unsupervised Key-phrase Extraction using Noun Phrases
|
10.5120/ijca2017913171 |
Shailendra Singh Kathait, Shubhrita Tiwari, Anubha Varshney and Ajit Sharma. Unsupervised Key-phrase Extraction using Noun Phrases. International Journal of Computer Applications 162(1):1-5, March 2017. BibTeX
@article{10.5120/ijca2017913171,
author = {Shailendra Singh Kathait and Shubhrita Tiwari and Anubha Varshney and Ajit Sharma},
title = {Unsupervised Key-phrase Extraction using Noun Phrases},
journal = {International Journal of Computer Applications},
issue_date = {March 2017},
volume = {162},
number = {1},
month = {Mar},
year = {2017},
issn = {0975-8887},
pages = {1-5},
numpages = {5},
url = {http://www.ijcaonline.org/archives/volume162/number1/27204-2017913171},
doi = {10.5120/ijca2017913171},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
Abstract
The growing abundance of text articles in internet requires automated tagging using key phrases. The automated key phrase generation of resources helps in the information retrieval. To generate the key phrases for texts from all possible domains, the need is an automated approach that would extract the key ideas directly from the text itself. In this paper, we have suggested a methodology that uses the noun words and phrases, their occurrence and co-occurrences to generate the keywords. The method, employing both the statistical and linguistic features, has been successful in extracting the keywords and phrases to tag a text that best summarizes its content.
References
- Ana Mestrovic, Beliga, Sanda Martincic-Ipsic, Slobodan, "An overview of graph-based keyword extraction methods and approaches", Journal of Information and Organizational Sciences 39, (2015).
- Aditi Sharan, Siddiqi, Sifatullah, "Keyword and key- phrase extraction techniques: A literature review", International Journal of Computer Applications” 109, (2015).
- Alexander Gelbukh, Erendira Rendon, Garcia-Hernandez, Rafael Cruz, Rene Arnulfo, Romyna Montiel, Yulia Ledeneva, "Text Summarization by Sentence Extraction Using Unsupervised Learning" , Mexican International Conference on Artificial Intelligence, Springer.
- Carl Gutwin, Craig G. Nevill-Manning, Eibe Frank, Gordon W. Paynter , Ian H., Witten, "KEA: Practical automatic key-phrase extraction" , Proceedings of the fourth ACM conference on Digital libraries.
- Peter D, Turney, "Learning algorithms for key-phrase Extraction", Information retrieval 2, no. 4 (2000).
- Bruce, Chad Burkey, Krulwich, "Learning user information interests through extraction of semantically significant phrases", Proceedings of the AAAI spring symposium on machine learning in information access.
- Kazi Saidul Hasan, Vincent Ng, “Automatic Keyphrase Extraction: A Survey of the State of the Art”, University of Texas at Dallas Richardson.
- Cornelia Caragea, Sujatha Das Gollapalli, “Extracting Keyphrases from Research Papers Using Citation Networks”, University of North Texas
- Abed Alhakim, Biswanath Dutta, Fausto Giunchiglia , Freihat, "Compound Noun Polysemy and Sense Enumeration in WordNet".
- George A, Miller, "Word-Net: a lexical database for English", Communications of the ACM 38, no. 11 (1995).
- Bird, Steven, Edward Loper, Ewan Klein, “Natural language processing with Python", O'Reilly Media, Inc.", 2009.
- Andreea Godea, Cornelia Caragea, Florin Bulgarov, Sujatha Das Gollapalli, “Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach”, Singapore.
Keywords
Unsupervised Key phrase Extraction, Automated Tagging, Key phrase extraction using Nouns, Natural Language Processing, Information Retrieval.