Stemming, Naturallanguageprocessing, Artificial Intelligence, Word Embeddings, Machine Learning.
approximately equally separated in the embedded space. We could use such a representation for a variety of purposes like finding synonyms and analogies, identifying concepts around which words are clustered, classifying words as positive, negative, neutral, etc. By combining word vectors, we can