One of my colleague at Fondazione Bruno Kessler (FBK) in Trento, Carlo Strapparava, was awarded with $50,000 by Google as an incentive to continue his research, especially with the participation of young researchers. Carlo proposed algorithms for distinguishing some of the nuances and emotions expressed in written language.
Dealing with the emotional, persuasive, or other aspects of creative language content in the texts – Strapparava explains- is commonly considered to be off limits for any computational ability. Actually, these features are a key part of communicating, and it is important that research in the field of natural language processing deal with it. The usefulness of automatic recognition of these aspects is nowadays even greater, given the enormous daily production of texts on the web. Through these technologies, it will also be possible to predict the emotional or persuasive content of a text.