Sentiment Analysis and Characterization of Sheldon Cooper in the Italian Dubbing of The Big Bang Theory: A GPT-Based Approach
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Abstract
This study examines the impact of dubbing on the portrayal of Sheldon Cooper in The Big Bang Theory, using sentiment analysis with OpenAI's GPT models. Through advanced natural language processing (NLP) techniques, it compares the emotional expressions in the English and Italian dialogues, highlighting key differences and similarities. The results suggest that sentiment analysis can significantly enhance the quality of dubbing, providing a more authentic and emotionally coherent representation of the character. This approach underscores the importance of preserving emotional nuances and the idiosyncratic peculiarities of characters in audiovisual translation.
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