# GloVe

> Source: https://sukruyusufkaya.com/en/glossary/glove
> Updated: 2026-05-13T20:58:49.744Z
> Type: glossary
> Category: dogal-dil-isleme
**TLDR:** An embedding method that produces dense word vectors using global word co-occurrence statistics.

<p>GloVe is an important word embedding method that combines local context-window learning with global statistical information. Derived from a word-word co-occurrence matrix, it aims to produce more stable semantic vectors. It became a strong and widely used representation approach during the classical NLP era. It remains historically important for understanding different ways of modeling distributional semantics.</p>