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The user inputs a text file from Project Gutenberg. The program reads the content and preprocesses the text (tokenization, removing stop words, etc.). The sentiment analysis model evaluates the sentiment of the text. The program outputs sentiment details, such as the overall sentiment, sentiment score, or breakdown of sentiment per section.

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