menon92/Bangla-Word2Vec
Bangla word2vec using skipgram approach
This project helps researchers and linguists understand how Bangla words relate to each other by analyzing text. It takes a collection of Bangla sentences as input and produces a list of Bangla words, each associated with a unique numerical code and a corresponding vector that captures its meaning and context. Anyone working with Bangla language data, like natural language processing specialists or computational linguists, can use this.
No commits in the last 6 months.
Use this if you need to analyze the semantic relationships between words in Bangla text or create numerical representations of Bangla words for other language-related tasks.
Not ideal if you're looking for a tool for English or another language, or if you need an out-of-the-box solution without any programming.
Stars
16
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/menon92/Bangla-Word2Vec"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
shibing624/text2vec
text2vec, text to vector....
predict-idlab/pyRDF2Vec
đ Python Implementation and Extension of RDF2Vec
IntuitionEngineeringTeam/chars2vec
Character-based word embeddings model based on RNN for handling real world texts
IITH-Compilers/IR2Vec
Implementation of IR2Vec, LLVM IR Based Scalable Program Embeddings
ddangelov/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.