Identifying Trends in Data Science Articles using Text Mining

Adil, S.H. and Ebrahim, M. and Ali, S.S.A. and Raza, K. (2019) Identifying Trends in Data Science Articles using Text Mining. In: UNSPECIFIED.

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Abstract

The research conducted in this paper presents a detailed analysis of the latest research publications related to Data Science using information retrieval and text mining approach. The database used in this study was created by collecting the latest research papers from well-reputed Journals and Conference proceedings published by IEEE and Springer. This comprehensive study shows the significance of information retrieval and text mining in the identification of key insight from textual documents. © 2019 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 0
Uncontrolled Keywords: Data Science; Data visualization; Information retrieval, Research papers; Textual documents, Text mining
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 27 Aug 2021 08:35
Last Modified: 27 Aug 2021 08:35
URI: http://scholars.utp.edu.my/id/eprint/24835

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