A systematic review of 93 papers on authorship analysis, summarizing ML, DL, and LLM methods, datasets, and open challenges from 2015 to 2024.
It includes the top 50 authors based on the total size of their articles, all of whom have written at least one article in the CCAT (corporate/industrial) category
1 Pith paper cite this work. Polarity classification is still indexing.
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Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches
A systematic review of 93 papers on authorship analysis, summarizing ML, DL, and LLM methods, datasets, and open challenges from 2015 to 2024.