Machine Learning, NLP, Deep Learning, Sentiment Analysis, Word Embeddings.
that incorporate semantic and syntactic information, it is still computationally expensive. Due to the high computational costs of previous models, it was not until 2013 when Mikolov et al. (2013) present their simple, yet efficient model that popularised word embeddings and it begin to permeate