Current state of emotive annotation of plWordNet: •more than 83k annotations covering more than 54k lexical units and 41k synsets • 22k polarity annotations different than neutral (13k of lexical units and 9k synsets) • 1.5k synsets with different polarity across their units –without neutral units, only 345 of synsets with varying polarity strength –without neutral and ambiguous annotations, on...

Due to limitations of conventional text-based closed captions, expressions of paralinguistic and emotive information contained in the dialogue of television and film content are often missing. We present a framework for enhancing captions that uses animation and a set of standard properties to express five basic emotions. Using an action research method, the framework was developed from a desig...

Data and Previous Literature: Elliott (1971) points out that DPs introduced by emotive factive predicates (cf. (1)) have exclamative interpretations. Grimshaw (1979) establishes a parallelism between DPs that are introduced by predicates that also take interrogative clauses (Concealed Questions CQs, (2)) and DPs that are introduced by predicates that also take exclamative clauses (cf. (2b)); sh...

Recent advances in text analysis have led to finer-grained semantic analysis, including automatic sentiment analysis— the task of measuring documents, or chunks of text, based on emotive categories, such as positive or negative. However, considerably less progress has been made on efficient ways of exploring these measurements. This paper discusses approaches for visualizing the affective conte...

The aim of the research is the phonetic articulatory description of emotive speech achievable studying the labial movements, which are the product of the compliance with both the phonetic-phonological constraints and the lip configuration required for the visual encoding of emotions. In this research we analyse the interaction between labial configurations, peculiar to six emotions (anger, disg...

Iterative Rational Krylov Algorithm (IRKA) of [11] is an effective tool for tackling the H2-optimal model reduction problem. However, so far it has relied on a first-order state-space realization of the model-to-be-reduced. In this paper, by exploiting the Loewner-matrix approach for interpolation, we develop a new formulation of IRKA that only requires transfer function evaluations without acc...

The detection of emotions in text is a key issue for the development of intelligent systems. As demonstrated by the Turing test, a machine cannot be considered really intelligent unless it is also capable of perceiving and expressing emotions. In this work we focus on building a knowledge base which merges Common Sense and affective knowledge and use dimensionality reduction to perform emotive ...