A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights-Reference-Cited by-同舟云学术

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A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights

Published:2024-11 Issue: Volume:54 Page:100664
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Taha Kamal^ORCID,Yoo Paul D.,Yeun Chan,Homouz Dirar,Taha Aya

Publisher

Elsevier BV

Reference88 articles.

1. Bridging text visualization and mining: a task-driven survey;Liu;IEEE Trans. Vis. Comput. Graph.,2019

2. Text mining in cybersecurity: a systematic literature review;Ignaczak;ACM Comp. Surv.,2022

3. Survey of text-based epidemic intelligence: a computational linguistics perspective;Joshi;ACM Comput. Surv.,2020

4. A survey on text classification: from traditional to deep learning;Li;ACM Trans. Intell. Syst. Technol,2022

5. A survey on text mining techniques;Tandel,2019

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