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Finding the dramatic arc of novels with sentiment analysis
Sentiment analysis has been widely used to infer the mood of customers in emails, tweets and other short communications. The base assumption is that the sentiment is a fixed value: the email is either angry or happy; positive or negative. But in longer writings like a novel, we naturally expect the sentiment to vary over time. Can we apply sentiment analysis over the course of a long text, and thereby see the dramatic arc of a story as it flows from comedy to tragedy and maybe back again? That's what Matthew Jockers has done with his R package "syuzhet". Inspired...
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