Publications
Dataset · Zenodo · April 7, 2026
Uzbek 65 million web corpus FastText model
Surayyo Khajibaeva, Khabibulla A. Madatov, Jernej Vičič
Abstract
FastText model developed from 65 million Uzbek web corpus (10.5281/zenodo.19462612). The model can be used for efficient text representation via Word embeddings (vector representations). A simple Python script for loading and using the model. FastText is a lightweight, open-source library developed by Facebook AI Research for efficient text representation and classification. The FastText implementation used to produce the model, which can later be used for the model, was Gensim.
Topic ModelingNatural Language Processing TechniquesSentiment Analysis and Opinion MiningUzbek languageword embeddingsFastText
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