A Survey on Text Classification: From Traditional to Deep Learning

Li, Q, Peng, H, Li, J et al. (5 more authors) (2022) A Survey on Text Classification: From Traditional to Deep Learning. ACM Transactions on Intelligent Systems and Technology, 13 (2). 31. ISSN 2157-6904

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Li, Q
  • Peng, H
  • Li, J
  • Xia, C
  • Yang, R
  • Sun, L
  • Yu, PS
  • He, L
Keywords: challenges; Deep learning; evaluation metrics; text classification; traditional models
Dates:
  • Published: 8 April 2022
  • Published (online): 8 April 2022
  • Accepted: 1 October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 May 2022 12:17
Last Modified: 12 May 2022 12:17
Status: Published
Publisher: ACM
Identification Number: 10.1145/3495162
Related URLs:
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics