Machine Learning, NLP, Deep Learning, Sentiment Analysis, Word Embeddings.
can be seen below: Figure from Bengio et al. 2003. The proposed architecture for learning word representations. where C(i) is the representation for the i^th word of the vocabulary. The output layer — which causes the model to be impractical, calculates the conditional probability distribution over