An Efficient Approach for Keyphrase Extraction from English Document
Imtiaz Hossain Emu, Asraf Uddin Ahmed, Manowarul Islam, Selim Al Mamun, Ashraf Uddin · International Journal of Intelligent Systems and Applications · 2017
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 wellknown document corpus.