Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation
This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new classification system, grounded in methodology, to categorize text classification algorithms into an organized stru...
Saved in:
| Main Authors: | Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2025-05-01
|
| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020092 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic Classification of Non-Patent Literature via Patent-Literature Text Mining
by: Seongwon Kim, et al.
Published: (2024-06-01) -
Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers
by: Arafet Sbei, et al.
Published: (2025-08-01) -
Summary of text classification methods
by: You YU, et al.
Published: (2019-10-01) -
The Method for Reducing the Term Vector Size for Category Classification of Text Documents
by: Golub T.V., et al.
Published: (2019-06-01) -
A comprehensive evaluation of oversampling techniques for enhancing text classification performance
by: Salimkan Fatma Taskiran, et al.
Published: (2025-07-01)