An efficient approach for keyphrase extraction from English document
Автор: Imtiaz Hossain Emu, Asraf Uddin Ahmed, Manowarul Islam, Selim Al Mamun, Ashraf Uddin
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 12 vol.9, 2017 года.
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Keyphrases are set of words that reflect the main topic of interest of a document. It plays vital roles in document summarization, text mining, and retrieval of web contents. As it is closely related to a document, it reflects the contents of the document and acts as indices for a given document. Extracting the ideal keyphrases is important to understand the main contents of the document. In this work, we present a keyphrase extraction method that efficiently finds the keywords from English documents. The methods use some important features of the document such as TF, TF*IDF, GF, GF*IDF, TF*GF*IDF for the purpose. Finally, the performance of the proposal is evaluated using well-known document corpus.
Keypharse, Stemming, Keyphrase Nomination, Term Frequency, Inverse Document Frequency
Короткий адрес: https://sciup.org/15016444
IDR: 15016444 | DOI: 10.5815/ijisa.2017.12.06
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