Machine Learning, NLP, Deep Learning, Sentiment Analysis, Word Embeddings.
and the underlying concepts of unsupervised word vectors. For related work, see Mitchell and Lapata (2008), Katrin Erk (2010), and Katz and Giesbrecht (2006). It was not until 2003, when the idea of learning semi-supervised word embeddings was investigated by Yoshua Bengio et al. (2003). In their