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Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering Cover

Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering

Journal of Data and Information Science
Volume 6 (2021): Issue 3 (June 2021)
By: Sahand Vahidnia,  Alireza Abbasi and  Hussein A. Abbass  
Open Access
|Jun 2021

Authors

Sahand Vahidnia

s.vahidnia@unsw.edu.au

University of New South Wales, Canberra, Australia

Alireza Abbasi

University of New South Wales, Canberra, Australia

Hussein A. Abbass

University of New South Wales, Canberra, Australia
DOI: https://doi.org/10.2478/jdis-2021-0024 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 99 - 122
Submitted on: Nov 30, 2020
Accepted on: Apr 26, 2021
Published on: Jun 18, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Dynamics of science,
Science mapping,
Document clustering,
Artificial intelligence,
Deep learning
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2021 Sahand Vahidnia, Alireza Abbasi, Hussein A. Abbass, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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