mlsanityData to 7 Oct 2026

Bag of Tricks for Efficient Text Classification

arXiv 1607.01759 ↗First posted 6 Jul 2016cs.CLcited by 869

Not on the map. Why?

Cited by 24 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper explores a simple and efficient baseline for text classification. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training and evaluation. We can train fastText on more than one billion words in less than ten minutes using a standard multicore~CPU, and classify half a million sentences among~312K classes in less than a minute.

Key facts. Cited by 869 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jul 2016.

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Citing papers per year: 2020: 1; 2021: 185; 2022: 136; 2023: 158; 2024: 142; 2025: 145; 2026: 102.

869 papers.

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