IntroductionFrom Opinion Mining to Human–agent Interactions
The automatic analysis of opinions in interactions is a rapidly expanding domain, encouraged, on the one hand, by the challenges presented by practical applications and, on the other hand, by the growing presence of online platforms for public expression and media. This development offers exciting new possibilities in terms of critical expression and action over the Internet [CAR 13], and the quantity and variety of data available is increasing. In terms of natural language processing, the challenge is to analyze expressions of opinion automatically for the purposes of analyzing social trends. There are many possible applications for these techniques: analyzing citizens’ opinions of candidates at election time, analyzing Internet users’ opinions of a product (or product reputation), identifying target clients for recommendation systems, evaluating the success of an advertising campaign, etc.
Running parallel to this social web phenomenon, social robotics, and human–agent interactions as a whole, offer fertile ground for the analysis of opinions in interactions between humans and virtual agents. For example, companion robots are used to provide assistance to users (helping maintain independence) and for entertainment purposes. In this context, knowledge of the user and their profile is critical in order to build a social link between the person and the robot. Using this profile (particularly user preferences, in this ...
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