Deep Learning: New steps for Natural Language Processing

Natural Language Processing (NLP) of texts has been applied with different degrees of success. For example, automatic translation has attracted a lot of attention in the early stages of NLP. Nowadays, with the advent of social networks, users generate a big volume of interesting information for companies which are either in the search of user feedback for they products or in the search of personalised information to sell new ones. Thus, new NLP interesting applications appear such as sentiment analysis (extracting opinions in a user opinion about a product), user wants and needs detection or user profiling. Humans cannot process this information timely without great effort and money expenditures and computers stand up as the only alternative as they are much faster than humans.