Computer-aided analysis of opinions and emotions in texts
The book "Opinion Mining and Lexical Affect Sensing" demonstrates a broad scope of scientific experimentation, in that it explores a variety of approaches to affect categorisation far beyond a mere classification of texts, and outlining applications in dialogue systems and robotics. The PhD thesis ” Opinion mining and lexical affect sensing ” is a valuable contribution to automatic emotion identification. It has a broad experimental scope since four main approaches with several variants are presented, discussed and assessed by the authors in terms of performance and potential.
Portrait
Alexander Osherenko graduated from University of Applied Sciences, Hamburg with the B.Sc. degree in computer science. He obtained his M. Sc. degree in computer science from Humboldt University, Berlin and the PhD degree from University of Augsburg, Germany.
