Machine Learning, NLP, Deep Learning, Sentiment Analysis, Word Embeddings.
work, the authors present a neural network that learns a probability function for word sequences (the main goal of a language model) and simultaneously learns a distributional representation for each word. They introduce the weights of the input to the hidden layer of the neural network as word