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

Sahand Vahidnia

Sahand Vahidnia

University of New South WalesCanberra, Australia
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Vahidnia, Sahand
, 
Alireza Abbasi

Alireza Abbasi

University of New South WalesCanberra, Australia
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Abbasi, Alireza
 and 
Hussein A. Abbass

Hussein A. Abbass

University of New South WalesCanberra, Australia
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Abbass, Hussein A.
  
Jun 18, 2021
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Article Category: Research Paper
Published Online: Jun 18, 2021
Page range: 99 - 122
Received: Nov 30, 2020
Accepted: Apr 26, 2021
DOI: https://doi.org/10.2478/jdis-2021-0024
Keywords
© 2021 Sahand Vahidnia et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Vahidnia, Sahand
University of New South WalesCanberra, Australia
Abbasi, Alireza
University of New South WalesCanberra, Australia
Abbass, Hussein A.
University of New South WalesCanberra, Australia
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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