Emotions and language are strongly associated. In recent years, many resources have been created to investigate this association and automatically detect emotions from texts. Presenting ELIta (Emotion Lexicon for Italian), this study provides a new language resource for the analysis and detection of emotions in Italian texts. It describes the process of lexicon creation, including lexicon selection and annotation methodologies, and compares the collected data with existing resources. By offering a non-aggregated lexicon, ELIta fills a crucial gap and is applicable to various research and practical applications. Furthermore, the work utilises the lexicon by analysing the relationships between emotions and gender.

ELIta: A New Italian Language Resource for Emotion Analysis / DI PALMA, Eliana. - (2024). (Intervento presentato al convegno CLiC-it2024: 10th Italian Conference on Computational Linguistics tenutosi a Pisa, Italy).

ELIta: A New Italian Language Resource for Emotion Analysis

Eliana Di Palma
2024

Abstract

Emotions and language are strongly associated. In recent years, many resources have been created to investigate this association and automatically detect emotions from texts. Presenting ELIta (Emotion Lexicon for Italian), this study provides a new language resource for the analysis and detection of emotions in Italian texts. It describes the process of lexicon creation, including lexicon selection and annotation methodologies, and compares the collected data with existing resources. By offering a non-aggregated lexicon, ELIta fills a crucial gap and is applicable to various research and practical applications. Furthermore, the work utilises the lexicon by analysing the relationships between emotions and gender.
2024
CLiC-it2024: 10th Italian Conference on Computational Linguistics
emotions, language resource, italian, emotion lexicon, word-emotion association
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
ELIta: A New Italian Language Resource for Emotion Analysis / DI PALMA, Eliana. - (2024). (Intervento presentato al convegno CLiC-it2024: 10th Italian Conference on Computational Linguistics tenutosi a Pisa, Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1734697
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