Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
large amounts of text as input (e.g. Wikipedia, science, news, articles etc.). These representation of words capture semantic similarity between words among other properties. Word2Vec word embeddings are learnt in a such way, that distance between vectors for words with close meanings (“king” and