Machine Learning, NLP, Deep Learning, Word2vec, Word Vectors.
models and outperforms for huge datasets with billions of words and with millions of words vocabulary. This technique helps to measure the quality of the resulting vector representations. This works with similar words that tend to close with words that can have multiple degrees of similarity.