Affect logic

Computational Models of Affect and Fuzzy Logic

In light of recent research and empirical findings a new view on emotion and affect has surfaced. Within this view ‘feeling’ (core affect) is separated from ‘emotion’ (psychological construction). This model appears to be a good candidate for a computation model of affect and emotion. We argue that fuzzy logic is the perfect tool for its implementation, for the modeling of core affect dynamics,...

Extension of Logic regression to Longitudinal data: Transition Logic Regression

Logic regression is a generalized regression and classification method that is able to make Boolean combinations as new predictive variables from the original binary variables. Logic regression was introduced for case control or cohort study with independent observations. Although in various studies, correlated observations occur due to different reasons, logic regression have not been studi...

Linear Formulas in Continuous Logic

We prove that continuous sentences preserved by the ultramean construction (a generalization of the ultraproduct construction) are exactly those sentences which are approximated by linear sentences. Continuous sentences preserved by linear elementary equivalence are exactly those sentences which are approximated in the Riesz space generated by linear sentences. Also, characterizations for linea...

How Does Real Affect Affect Affect Recognition In Speech?

Lexical Affect Sensing: Are Affect Dictionaries Necessary to Analyze Affect?

Recently, there has been considerable interest in the automated recognition of affect from written and spoken language. In this paper, we investigate how information on a speaker’s affect may be inferred from lexical features using statistical methods. Dictionaries of affect offer great promise to affect sensing since they contain information on the affective qualities of single words or phrase...