Machine Learning, NLP, Deep Learning, Sentiment Analysis, Word Embeddings.
through NLP. They propose two architectures to compute word embeddings: Continuous Bag-of-Words (CBOW) and Skip-gram (SG) models. The CBOW model where context (w_{i-2}, w_{i-1}, w_{i+1}, w_{i+2}) is used to predict the target word (w_i), is illustrated in the following Figure: The architecture of