word2vec embeddings for the top 15,000 english words [300 dimensional]
Dataset of word2vec embeddings for the top 15,000 english words according to norvig frequency.
Useful for practicing ideas with word2vec without requiring the massive database.
- contains 300-dimensional vectors from the GoogleNews dataset
- words that had the same stemming via stemmer were considered identical
``sh`
npm i word2vec-wordlist
`javascript
var word2Vec_wordList = require('word2vec-wordlist');
word2Vec_wordList.decompress(onDecompressed);
//takes about 20 seconds to decompress!
function onDecompressed(){
console.log(word2Vec_wordList.getWord("cheese")); //this result is instant
// Float32Array(300) [
// -0.08591480553150177, -0.07043947279453278, 0.03762108087539673,
// 0.13874441385269165, -0.01687612198293209, 0.06163453683257103,
// -0.05923318862915039, -0.04108969122171402, -0.06030045449733734,
// 0.05069507285952568, -0.04215695336461067, -0.0853811725974083,
// -0.07577579468488693, 0.034419286996126175, -0.04429148510098457,
// ...
// ]
}
``
