Identifying Trends in Data Science Articles using Text Mining

Syed Hasan Adil; Mansoor Ebrahim; Syed Saad Azhar Ali; Kamran Raza

doi:10.1109/ICEEST48626.2019.8981702

Identifying Trends in Data Science Articles using Text Mining

Syed Hasan Adil
, Mansoor Ebrahim
, Syed Saad Azhar Ali
, Kamran Raza

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728151496
DOIs	https://doi.org/10.1109/ICEEST48626.2019.8981702
State	Published - Dec 2019
Externally published	Yes
Event	4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019 - Karachi, Pakistan Duration: 10 Dec 2019 → 11 Dec 2019

Publication series

Name	2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019

Conference

Conference	4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019
Country/Territory	Pakistan
City	Karachi
Period	10/12/19 → 11/12/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Data Science
Data Visualization
Information Retrieval
Text Mining

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Safety, Risk, Reliability and Quality
Health Informatics

Access to Document

10.1109/ICEEST48626.2019.8981702

Cite this

Adil, S. H., Ebrahim, M., Ali, S. S. A., & Raza, K. (2019). Identifying Trends in Data Science Articles using Text Mining. In 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019 Article 8981702 (2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEST48626.2019.8981702

Adil, Syed Hasan ; Ebrahim, Mansoor ; Ali, Syed Saad Azhar et al. / Identifying Trends in Data Science Articles using Text Mining. 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019).

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title = "Identifying Trends in Data Science Articles using Text Mining",

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.",

keywords = "Data Science, Data Visualization, Information Retrieval, Text Mining",

author = "Adil, \{Syed Hasan\} and Mansoor Ebrahim and Ali, \{Syed Saad Azhar\} and Kamran Raza",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019 ; Conference date: 10-12-2019 Through 11-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICEEST48626.2019.8981702",

language = "English",

series = "2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019",

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}

Adil, SH, Ebrahim, M, Ali, SSA & Raza, K 2019, Identifying Trends in Data Science Articles using Text Mining. in 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019., 8981702, 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019, Karachi, Pakistan, 10/12/19. https://doi.org/10.1109/ICEEST48626.2019.8981702

Identifying Trends in Data Science Articles using Text Mining. / Adil, Syed Hasan; Ebrahim, Mansoor; Ali, Syed Saad Azhar et al.
2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8981702 (2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Data Science

KW - Data Visualization

KW - Information Retrieval

KW - Text Mining

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M3 - Conference contribution

AN - SCOPUS:85081057364

T3 - 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019

BT - 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 10 December 2019 through 11 December 2019

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Adil SH, Ebrahim M, Ali SSA, Raza K. Identifying Trends in Data Science Articles using Text Mining. In 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8981702. (2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019). doi: 10.1109/ICEEST48626.2019.8981702

Identifying Trends in Data Science Articles using Text Mining

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this