In this paper we propose a model to enhance emotional learning in museums by detecting visitor emotions through Google Forms surveys on virtual exhibits. We utilize sentiment analysis and physiological measures to understand emotional states, aiming to improve classification accuracy through multimodal analysis. Additionally, text analysis aids sentiment assessment, emphasizing the crucial role of feedback in visitor engagement.
LEARNING AND EMOTIONAL-AFFECTIVE MUSEUM EXPERIENCE VIA TEXTUAL SENTIMENT ANALYSIS
Iana Fominska;
2024-01-01
Abstract
In this paper we propose a model to enhance emotional learning in museums by detecting visitor emotions through Google Forms surveys on virtual exhibits. We utilize sentiment analysis and physiological measures to understand emotional states, aiming to improve classification accuracy through multimodal analysis. Additionally, text analysis aids sentiment assessment, emphasizing the crucial role of feedback in visitor engagement.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
1099-4500-1-PB (2).pdf
solo utenti autorizzati
Licenza:
Copyright dell'editore
Dimensione
729.18 kB
Formato
Adobe PDF
|
729.18 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
