Most current models of research on emotion recognize valence (how pleasant a stimulus is)
and arousal (the level of activation or intensity that a stimulus elicits) as important …

This paper presents a comparison among several sentiment analysis classifiers using three
different techniques–machine learning, deep learning, and an evolutionary approach called …

Studies of semantic variables (eg, concreteness) and affective variables (ie, valence and
arousal) have traditionally tended to run in different directions. However, in recent years …

In the present study, we collected valence, arousal, concreteness, familiarity, imageability,
and context availability ratings for a total of 1,100 Chinese words. The ratings for all …

In studies that combine understanding of emotions and language, there is growing demand
for good-quality experimental materials. To meet this expectation, a large number of 4905 …

Abstract The Nencki Affective Picture System (NAPS; Marchewka, Żurawski, Jednoróg, &
Grabowska, Behavior Research Methods, 2014) is a standardized set of 1,356 realistic, high …

This chapter reviews emotion lexicons in emotion research. In the last few decades,
researchers have used and cited several emotion lexicons compiled by different research …

We investigated whether the effects of valence and arousal on emotional word processing
are modulated by concreteness using event-related potentials (ERPs). The stimuli included …

Aim: Previous evidence suggests that language influences bilinguals' moral judgements.
One explanation for this phenomenon is that using a second language (L2) attenuates …

We present EmoPro, a normative study of the emotion lexicon of the Spanish language. We
provide emotional prototypicality ratings for 1286 emotion words (ie, those that refer to …