Text2vec
Text to Vector, Get Sentence Embeddings
...The project implements models and methods such as Word2Vec, RankBM25, BERT, Sentence-BERT, and CoSENT. It also compares model behavior on semantic matching and similarity calculation tasks. Developers can use it as an applied NLP library for embedding generation or as a study resource for text representation methods. It is especially useful for Chinese and multilingual NLP projects that need practical sentence embeddings and similarity scoring.