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

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Detalles Bibliográficos
Publicado en:	Quality and Quantity vol. 58, no. 2 (Apr 2024), p. 1971
Autor principal:	Forciniti, Alessia
Otros Autores:	Zavarrone, Emma, Paolillo, Mirella
Publicado:	Springer Nature B.V.
Materias:	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
Acceso en línea:	Citation/Abstract Full Text - PDF
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