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Emotion recognition in italian political language for prefiguring crisis in the balance of the parties’ coalitions

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Pubblicato in:Quality and Quantity vol. 58, no. 2 (Apr 2024), p. 1971
Autore principale: Forciniti, Alessia
Altri autori: Zavarrone, Emma, Paolillo, Mirella
Pubblicazione:
Springer Nature B.V.
Soggetti:
Politics
Data processing
Political discourse
Correspondence analysis
COVID-19
Data analysis
Emotion recognition
Recognition
Language
Emotions
Happiness
Acknowledgment
Fear & phobias
Political parties
Political leadership
Vocabulary
Italian language
Discourse
Sentiment analysis
Grief
Political communication
Right wing politics
Coalitions
Anger
Natural language processing
Sadness
Centrism
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