A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?

A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?

Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper presents an in-depth survey of text classification techniques across diverse benchmarks, addressing applications fr...

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Bibliographic Details
Main Authors: John Fields, Kevin Chovanec, Praveen Madiraju
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
NLP
text classification
transformers
survey
Online Access:https://ieeexplore.ieee.org/document/10380590/

Internet

https://ieeexplore.ieee.org/document/10380590/

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