We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a ...
This paper addresses the conflicting dimension of groupware, seeking the reconciliation of two very different assumptions about the users' attitudes using groupware tools: use...
Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very import...
In this overview, we look at embedded clauses that report somebody's attitude or speech. Semantic content in the embedded clause can in some such cases be interpreted from eit...
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...