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Identifying Trends in Data Science Articles using Text Mining

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 Conf...

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Main Authors: Adil, S.H., Ebrahim, M., Ali, S.S.A., Raza, K.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081057364&doi=10.1109%2fICEEST48626.2019.8981702&partnerID=40&md5=70b69202b981d455a3d0e00cdb03cc6f
http://eprints.utp.edu.my/24835/
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spelling my.utp.eprints.248352021-08-27T08:35:32Z Identifying Trends in Data Science Articles using Text Mining Adil, S.H. Ebrahim, M. Ali, S.S.A. Raza, K. 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. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081057364&doi=10.1109%2fICEEST48626.2019.8981702&partnerID=40&md5=70b69202b981d455a3d0e00cdb03cc6f 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. http://eprints.utp.edu.my/24835/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Conference or Workshop Item
author Adil, S.H.
Ebrahim, M.
Ali, S.S.A.
Raza, K.
spellingShingle Adil, S.H.
Ebrahim, M.
Ali, S.S.A.
Raza, K.
Identifying Trends in Data Science Articles using Text Mining
author_facet Adil, S.H.
Ebrahim, M.
Ali, S.S.A.
Raza, K.
author_sort Adil, S.H.
title Identifying Trends in Data Science Articles using Text Mining
title_short Identifying Trends in Data Science Articles using Text Mining
title_full Identifying Trends in Data Science Articles using Text Mining
title_fullStr Identifying Trends in Data Science Articles using Text Mining
title_full_unstemmed Identifying Trends in Data Science Articles using Text Mining
title_sort identifying trends in data science articles using text mining
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081057364&doi=10.1109%2fICEEST48626.2019.8981702&partnerID=40&md5=70b69202b981d455a3d0e00cdb03cc6f
http://eprints.utp.edu.my/24835/
_version_ 1738656646097272832
score 13.160551

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