This paper describe a weakly supervised solution for detecting stance in tweets, submitted to the SemEval 2016 Stance Task. Our approach is based on the premise that stance can be exposed as positive or negative opinions, although not necessarily about the stance target itself. Our system receives as input ngrams representing opinion targets and common terms used to denote stance (e.g. hashtags...

In The empirical stance, Bas van Fraassen argues for a reconceptualization of empiricism, and a rejection of its traditional rival, speculative metaphysics, as part of a larger and provocative study in epistemology. Central to his account is the notion of voluntarism in epistemology, and a concomitant understanding of the nature of rationality. In this paper I give a critical assessment of thes...

Stance classification, which aims at detecting the stance expressed in text towards a specific target, is an emerging problem in sentiment analysis. A major difference between stance classification and traditional aspect-level sentiment classification is that the identification of stance is dependent on target which might not be explicitly mentioned in text. This indicates that apart from text ...