База данных ENRuN с оценками эмоциональной окраски русских существительных

Экспериментальная психология. 2025. Т. 18. № 2. С. 206–219.

Lyusin D., Sysoeva T.

Context and relevance. Databases with emotional ratings of stimuli are necessary for studying the processing of emotional information and in other studies where the control of emotional aspects of stimuli is required. Emotional tone of stimuli is traditionally assessed within two different approaches, dimensional (ratings on continuous dimensions) and categorical (ratings of associations with discreet emotional categories). Databases with emotional ratings of words exist in different languages, but few of them implement both approaches, although their combination allows for more subtle description of stimuli. Methods and materials. The article describes ENRuN (Emotional Norms for Russian Nouns) database that includes emotional ratings of 378 Russian nouns. Each word was rated within the dimensional (valence and arousal) and categorical approach (happiness, sadness, anger, fear, and disgust). Results. The relationships between these parameters were found to be non-linear, which is discussed in the perspective of modern models of affect structure. Generally, the pattern of these relationships corresponds to the results obtained in other languages; this confirms the validity of the ratings. Conclusions. The ENRuN database can be used in a wide range of experimental studies of the processing of emotional stimuli.

Keywords: валентность, многомерный подход, valence, эмоциональная окраска слов, arousal, возбуждение, dimensional approach, ENRuN database, эмоциональные категории, emotional ratings of words, categorical approach, emotion categories, база ENRuN, категориальный подход

Publication based on the results of: Cognitive and affective processes in human cognitive activity (2024)