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Publication Detailed Description
A Systematic Literature Review on LLM-Based Content Classification
Book Title
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Year (definitive publication)
2026
Language
English
Country
Switzerland
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Abstract
This review examines how LLMs, particularly those using transformer architectures, have addressed persistent challenges in text classification through their advanced context understanding and generative capabilities. Despite significant progress, the review highlights gaps in current research, such as the need for greater transparency, reduced computational cost, and better management of model hallucinations. The paper concludes with recommendations for future research to improve the use of LLMs in content classification and ensure their effective use in various domains.
Acknowledgements
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Keywords
Systematic Literature Review,Large Language Model,Contents Classification
Fields of Science and Technology Classification
- Mathematics - Natural Sciences
- Computer and Information Sciences - Natural Sciences
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