AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
$ git clone https://github.com/bakrianoo/aravec.gitStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
🦆 Contextually-keyed word vectors
Pre-trained Word2Vec Model for Turkish
Text preprocessing, representation and visualization from zero to hero.
A collection of notebooks for Natural Language Processing from NLP Town
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Data from GitHub · snapshot Sep 24, 2026