Validating an interlingual metanorm for emotional analysis of texts

Emotional Prototypicality Ratings for 636 Chinese Words: A Database of Chinese Words with Affective Information

Exemplars of concepts vary in their degree of prototypicality. This is also true for emotion concepts. This study presents prototypicality ratings for a large set of Chinese words. The database contains 636 potential Chinese emotion words (i.e., words that directly express particular emotions, like " happy" and " sad"), from different grammatical categories. Native Chinese speakers rated the words in terms of emotional prototypicality. The database also contains values for valence, arousal, and emotionality. The analyses of the ratings revealed that 502 out of 636 words had a high prototypicality value (value equal to or above three on a 1-to-5 scale), the most prototypical words being negative and high-arousal words. The analyses also indicated that the emotional prototypicality of a word was positively related to both arousal and emotionality, and negatively related to valence. Among these variables, arousal was the most important contributor. Similar results have been found in studies conducted in other languages. This will be a useful resource for researchers interested in studying emotion words in the Chinese language and for those interested in cross-linguistic comparisons.

IDEST: International Database of Emotional Short Texts

We introduce a database (IDEST) of 250 short stories rated for valence, arousal, and comprehensibility in two languages. The texts, with a narrative structure telling a story in the first person and controlled for length, were originally written in six different languages (Finnish, French, German, Portuguese, Spanish, and Turkish), and rated for arousal, valence, and comprehensibility in the original language. The stories were translated into English, and the same ratings for the English translations were collected via an internet survey tool (N = 573). In addition to the rating data, we also report readability indexes for the original and English texts. The texts have been categorized into different story types based on their emotional arc. The texts score high on comprehensibility and represent a wide range of emotional valence and arousal levels. The comparative analysis of the ratings of the original texts and English translations showed that valence ratings were very similar across languages, whereas correlations between the two pairs of language versions for arousal and comprehensibility were modest. Comprehensibility ratings correlated with only some of the readability indexes. The database is published in osf.io/9tga3, and it is freely available for academic research.

EmoPro - Emotional prototypicality for 1286 Spanish words: Relationships with affective and psycholinguistic variables

We present EmoPro, a normative study of the emotion lexicon of the Spanish language. We provide emotional prototypicality ratings for 1286 emotion words (i.e., those that refer to human emotions such as "fear" or "happy"), belonging to different grammatical categories. This is the largest data set for this variable so far. Each word was rated by at least 20 participants, and adequate reliability and validity rates for prototypicality scores were found. We also provide new affective (valence, arousal, emotionality, happiness, sadness, fear, disgust, and anger) and psycholinguistic (Age-of-Acquisition, frequency and concreteness) ratings for those words without prior data in the extant literature, and analyze which of the given variables contribute the most to prototypicality. A factor analysis on the affective and psycholinguistic variables has shown that prototypicality loads in a factor associated to the emotional salience of words. Furthermore, a regression analysis reveals a significant role of both dimensional and discrete- emotion-related variables, as well as a modest effect of AoA and frequency on the prediction of prototypicality. Cross-linguistic comparisons show that the pattern obtained here is similar to that observed in other languages. EmoPro norms will be highly valuable for researchers in the field, providing them with a tool to select the most representative emotion words in Spanish for their experimental (e.g., for a comparison with emotion-laden words, such as "murder" or "party") or applied studies (e.g., to examine the acquisition of emotion words/concepts in children). The full set of norms is available as supplementary material.

Norms of valence and arousal for 14,031 Spanish words

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 components in the classification of affective experiences (Barrett, 1998; Kuppens, Tuerlinckx, Russell, & Barrett, 2012). Here we present a set of norms for valence and arousal for a very large set of Spanish words, including items from a variety of frequencies, semantic categories, and parts of speech, including a subset of conjugated verbs. In this regard, we found that there were significant but very small differences between the ratings for conjugations of the same verb, validating the practice of applying the ratings for infinitives to all derived forms of the verb. Our norms show a high degree of reliability and are strongly correlated with those of Redondo, Fraga, Padrón, and Comesaña's (2007) Spanish version of the influential Affective Norms for English Words (Bradley & Lang, 1999), as well as those from Warriner, Kuperman, and Brysbaert (2013), the largest available set of emotional norms for English words. Additionally, we included measures of word prevalence-that is, the percentage of participants that knew a particular word-for each variable (Keuleers, Stevens, Mandera, & Brysbaert, 2015). Our large set of norms in Spanish not only will facilitate the creation of stimuli and the analysis of texts in that language, but also will be useful for cross-language comparisons and research on emotional aspects of bilingualism. The norms can be downloaded and available as a supplementary materials to this article.

Norms of valence, arousal, and dominance for 13,915 English lemmas

Information about the affective meanings of words is used by researchers working on emotions and moods, word recognition and memory, and text-based sentiment analysis. Three components of emotions are traditionally distinguished: valence (the pleasantness of a stimulus), arousal (the intensity of emotion provoked by a stimulus), and dominance (the degree of control exerted by a stimulus). Thus far, nearly all research has been based on the ANEW norms collected by Bradley and Lang (1999) for 1,034 words. We extended that database to nearly 14,000 English lemmas, providing researchers with a much richer source of information, including gender, age, and educational differences in emotion norms. As an example of the new possibilities, we included stimuli from nearly all of the category norms (e.g., types of diseases, occupations, and taboo words) collected by Van Overschelde, Rawson, and Dunlosky (Journal of Memory and Language 50:289-335, 2004), making it possible to include affect in studies of semantic memory.