bakrianoo/aravec
AraVec provides 16 pre-trained Word2Vec word embedding models for Arabic text from Twitter and Wikipedia.
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AraVec is an open-source Arabic word embedding project that offers distributed word representations (vectors) trained on over 1.1 billion Arabic tokens from tweets and Wikipedia articles. It provides both unigram and n-gram models built using the gensim library’s Word2Vec implementation. These pre-trained embeddings can be loaded and used for various Arabic NLP tasks such as text classification, sentiment analysis, and information retrieval.
Frequently asked
- What is bakrianoo/aravec?
- AraVec provides 16 pre-trained Word2Vec word embedding models for Arabic text from Twitter and Wikipedia.
- Is aravec open source?
- Yes — bakrianoo/aravec is an open-source project tracked on heatdrop.
- What language is aravec written in?
- bakrianoo/aravec is primarily written in Jupyter Notebook.
- How popular is aravec?
- bakrianoo/aravec has 423 stars on GitHub.
- Where can I find aravec?
- bakrianoo/aravec is on GitHub at https://github.com/bakrianoo/aravec.