While this notion has inspired researchers across multiple domains, scientific investigation of this topic remains highly challenging. Altogether, this dataset provides a versatile resource that can be employed for emotion research in psychology, cognitive science, psycholinguistics, computational linguistics, and natural language processing.Īs humans we have the remarkable capacity to express complex, nuanced emotions with language. Direct mapping to Princeton WordNet makes the dataset suitable for research on multiple languages. The word meanings are further accompanied by the relevant metadata, derived from open-source linguistic resources. Although we found the annotations to be relatively stable for female, male, younger, and older participants, we share both summary data and individual data to enable emotion research on different demographically specific subgroups. The annotations were found to be highly reliable, as demonstrated by the similarity between data collected in two independent samples: unsupervised ( n = 21,317) and supervised ( n = 561). The word meanings were manually rated for valence and arousal, along with a variety of basic emotion categories (anger, disgust, fear, sadness, anticipation, happiness, surprise, and trust). The word meanings are derived from the Polish wordnet (plWordNet), a large semantic network interlinking words by means of lexical and conceptual relations. To mitigate this issue, we present the Emotion Meanings dataset, a novel dataset of 6000 Polish word meanings. While existing emotion lexicons typically comprise words, it is a particular meaning of a word (rather than the word itself) that conveys emotion. Emotion lexicons are useful in research across various disciplines, but the availability of such resources remains limited for most languages.
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