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Unsupervised Key-phrase Extraction using Noun Phrases

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Shailendra Singh Kathait, Shubhrita Tiwari, Anubha Varshney, Ajit Sharma

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

	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 = {},
	doi = {10.5120/ijca2017913171},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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Unsupervised Key phrase Extraction, Automated Tagging, Key phrase extraction using Nouns, Natural Language Processing, Information Retrieval.