Selim Al Mamun

Work place: Department of Electrical and Communication Engineering, Okayama University, Okayama, Japan



Research Interests: Computer Networks, Network Security, Data Mining, Data Structures and Algorithms, Quantum Computing Theory


Md. Selim Al Mamun received his B.Sc. (Hons) and M.S. degrees in Computer Science and Engineering from the University of Dhaka, Bangladesh in 2007 and 2009 respectively. He joined as a faculty member at the Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Bangladesh in 2011. He is currently pursuing the Ph.D. degree at the Graduate School of Natural Science and Technology, Okayama University, Japan. His research interests include computer networks, optimization algorithms, network security and quantum computing, Big Data, Data Mining.

Author Articles
An Efficient Approach for Keyphrase Extraction from English Document

By Imtiaz Hossain Emu Asraf Uddin Ahmed Manowarul Islam Selim Al Mamun Ashraf Uddin

DOI:, Pub. Date: 8 Dec. 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 well-known document corpus.

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