EVOKE: Emotion Vocabulary Of Korean and English
This dataset addresses the need for a detailed emotion vocabulary resource in Korean and English, serving researchers in emotion science, psycholinguistics, computational linguistics, and natural language processing, though it is incremental as it builds on existing emotion word datasets.
The authors introduced EVOKE, a parallel dataset of emotion vocabulary in English and Korean, containing 1,427 Korean and 1,399 English words with systematic annotations, to provide a comprehensive and theory-agnostic resource for cross-linguistic emotion research.
This paper introduces EVOKE, a parallel dataset of emotion vocabulary in English and Korean. The dataset offers comprehensive coverage of emotion words in each language, in addition to many-to-many translations between words in the two languages and identification of language-specific emotion words. The dataset contains 1,427 Korean words and 1,399 English words, and we systematically annotate 819 Korean and 924 English adjectives and verbs. We also annotate multiple meanings of each word and their relationships, identifying polysemous emotion words and emotion-related metaphors. The dataset is, to our knowledge, the most comprehensive, systematic, and theory-agnostic dataset of emotion words in both Korean and English to date. It can serve as a practical tool for emotion science, psycholinguistics, computational linguistics, and natural language processing, allowing researchers to adopt different views on the resource reflecting their needs and theoretical perspectives. The dataset is publicly available at https://github.com/yoonwonj/EVOKE.