Yhn first seen 11 h ago, last 9 min ago, peak #17
Raschka traces text classification from bag-of-words to LLMs
Original: Language models for text classification: From bag-of-words to Jev
Machine learning researcher Sebastian Raschka has published a deep-dive on the history of text classification, walking through how the field moved from bag-of-words methods such as Naive Bayes and logistic regression to embeddings and modern large language models. The piece examines how much accuracy improved at each stage and what older techniques still offer today, drawing discussion from developers weighing cost against performance.
Why now: Practitioners are debating whether modern LLMs genuinely outperform simpler classical classifiers for everyday text classification tasks.
Sebastian RaschkaNaive Bayeslarge language models
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Evidence
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