# Sentence2Vec This computes the sentence vector of a sentence using word2vec for each word in the sentence. The crate supports the txt format of word2vec and a custom format of word2vec for binary files. ## Usage ```rust use sentence2vec::Sentence2Vec; let sentence = "This is a sentence."; let model = Sentence2Vec::new("path/to/model.bin").unwrap(); let vector = model.sentence_vector(sentence); ``` The sentence vector is a sum up of the word vectors of the sentence. We then have a vector of the same dimension as the word vectors. ## Example Here is an example to compute the cosine similarity between two sentences. ```rust use sentence2vec::Sentence2Vec; let word2vec = Word2Vec::<300>::load_from_bytes("tests/common.en.300.bin").await.unwrap(); let sentence2vec = Sentence2Vec::new(Box::new(word2vec)); let similarity = sentence2vec.cosine("This is a test.", "This is a test.").await.unwrap(); assert_eq!(similarity, 1.0); let similarity_fruits = sentence2vec.cosine("I love apples.", "I love pears").await.unwrap(); let similarity_fuits_cars = sentence2vec.cosine("I love apples.", "I love cars").await.unwrap(); assert!(similarity_fruits > similarity_fuits_cars); ``` ## License MIT ```