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Basic Emotions in the Nencki Affective Word List (NAWL BE): New Method of Classifying Emotional Stimuli.

Wierzba M, Riegel M, Wypych M, Jednoróg K, Turnau P, Grabowska A, Marchewka A - PLoS ONE (2015)

Bottom Line: The general characteristics of the present word database, as well as the relationships between the studied variables are shown to be consistent with typical patterns found in previous studies using similar databases for different languages.To make the NAWL more convenient to use, we introduce a comprehensive method of classifying stimuli to basic emotion categories.We discuss the advantages of our method in comparison to other methods of classification.

View Article: PubMed Central - PubMed

Affiliation: Laboratory of Brain Imaging, Neurobiology Centre, Nencki Institute of Experimental Biology, Warsaw, Poland.

ABSTRACT
The Nencki Affective Word List (NAWL) has recently been introduced as a standardized database of Polish words suitable for studying various aspects of language and emotions. Though the NAWL was originally based on the most commonly used dimensional approach, it is not the only way of studying emotions. Another framework is based on discrete emotional categories. Since the two perspectives are recognized as complementary, the aim of the present study was to supplement the NAWL database by the addition of categories corresponding to basic emotions. Thus, 2902 Polish words from the NAWL were presented to 265 subjects, who were instructed to rate them according to the intensity of each of the five basic emotions: happiness, anger, sadness, fear and disgust. The general characteristics of the present word database, as well as the relationships between the studied variables are shown to be consistent with typical patterns found in previous studies using similar databases for different languages. Here we present the Basic Emotions in the Nencki Affective Word List (NAWL BE) as a database of verbal material suitable for highly controlled experimental research. To make the NAWL more convenient to use, we introduce a comprehensive method of classifying stimuli to basic emotion categories. We discuss the advantages of our method in comparison to other methods of classification. Additionally, we provide an interactive online tool (http://exp.lobi.nencki.gov.pl/nawl-analysis) to help researchers browse and interactively generate classes of stimuli to meet their specific requirements.

No MeSH data available.


Distribution of the NAWL stimuli assigned to basic emotions in the affective space of valence and arousal.Euclidean distance based classification method was used to classify words (threshold values: 2.5 for happiness, 5.5 for anger, sadness, fear, disgust; 2.5 for the neutral class).
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pone.0132305.g002: Distribution of the NAWL stimuli assigned to basic emotions in the affective space of valence and arousal.Euclidean distance based classification method was used to classify words (threshold values: 2.5 for happiness, 5.5 for anger, sadness, fear, disgust; 2.5 for the neutral class).

Mentions: By applying the proposed thresholds we were able to assign 739 out of 2902 words to the following classes: happiness (147), anger (98), sadness (64), fear (163), disgust (48) and neutral (219). With this new data, we compared the “dimensional” framework with the discrete approach by superimposing the sets of NAWL words assigned to basic emotions (identified with our classification method) on the valence-arousal plot shown in Fig 2.


Basic Emotions in the Nencki Affective Word List (NAWL BE): New Method of Classifying Emotional Stimuli.

Wierzba M, Riegel M, Wypych M, Jednoróg K, Turnau P, Grabowska A, Marchewka A - PLoS ONE (2015)

Distribution of the NAWL stimuli assigned to basic emotions in the affective space of valence and arousal.Euclidean distance based classification method was used to classify words (threshold values: 2.5 for happiness, 5.5 for anger, sadness, fear, disgust; 2.5 for the neutral class).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4492597&req=5

pone.0132305.g002: Distribution of the NAWL stimuli assigned to basic emotions in the affective space of valence and arousal.Euclidean distance based classification method was used to classify words (threshold values: 2.5 for happiness, 5.5 for anger, sadness, fear, disgust; 2.5 for the neutral class).
Mentions: By applying the proposed thresholds we were able to assign 739 out of 2902 words to the following classes: happiness (147), anger (98), sadness (64), fear (163), disgust (48) and neutral (219). With this new data, we compared the “dimensional” framework with the discrete approach by superimposing the sets of NAWL words assigned to basic emotions (identified with our classification method) on the valence-arousal plot shown in Fig 2.

Bottom Line: The general characteristics of the present word database, as well as the relationships between the studied variables are shown to be consistent with typical patterns found in previous studies using similar databases for different languages.To make the NAWL more convenient to use, we introduce a comprehensive method of classifying stimuli to basic emotion categories.We discuss the advantages of our method in comparison to other methods of classification.

View Article: PubMed Central - PubMed

Affiliation: Laboratory of Brain Imaging, Neurobiology Centre, Nencki Institute of Experimental Biology, Warsaw, Poland.

ABSTRACT
The Nencki Affective Word List (NAWL) has recently been introduced as a standardized database of Polish words suitable for studying various aspects of language and emotions. Though the NAWL was originally based on the most commonly used dimensional approach, it is not the only way of studying emotions. Another framework is based on discrete emotional categories. Since the two perspectives are recognized as complementary, the aim of the present study was to supplement the NAWL database by the addition of categories corresponding to basic emotions. Thus, 2902 Polish words from the NAWL were presented to 265 subjects, who were instructed to rate them according to the intensity of each of the five basic emotions: happiness, anger, sadness, fear and disgust. The general characteristics of the present word database, as well as the relationships between the studied variables are shown to be consistent with typical patterns found in previous studies using similar databases for different languages. Here we present the Basic Emotions in the Nencki Affective Word List (NAWL BE) as a database of verbal material suitable for highly controlled experimental research. To make the NAWL more convenient to use, we introduce a comprehensive method of classifying stimuli to basic emotion categories. We discuss the advantages of our method in comparison to other methods of classification. Additionally, we provide an interactive online tool (http://exp.lobi.nencki.gov.pl/nawl-analysis) to help researchers browse and interactively generate classes of stimuli to meet their specific requirements.

No MeSH data available.