Machine Learning, NLP, Deep Learning, Word2vec, Word Vectors.
embeddings help in the following use cases. Compute similar words Text classifications Document clustering/grouping Feature extraction for text classifications Natural language processing. After the words are converted as vectors, we need to use some techniques such as Euclidean distance, Cosine