# High-performance automatic categorization and attribution of inventory catalogs

arXiv: https://arxiv.org/abs/2202.08965 · HTML: https://mlsanity.com/paper/2202.08965/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 5 references that are in the map.
- First posted on arXiv 9 Feb 2022.

## Built on by (most cited first, 3 of 3)

- [Causal Analysis of Generic Time Series Data Applied for Market Prediction](https://mlsanity.com/paper/2204.12928/) (2022)
- [Social Media Sentiment Analysis for Cryptocurrency Market Prediction](https://mlsanity.com/paper/2204.10185/) (2022)
- [Interpretable Recognition of Cognitive Distortions in Natural Language Texts](https://mlsanity.com/paper/2511.05969/) (2025)

## Abstract (arXiv)

Techniques of machine learning for automatic text categorization are applied and adapted for the problem of inventory catalog data attribution, with different approaches explored and optimal solution addressing the tradeoff between accuracy and performance is selected.