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Books have the power to make us feel happiness, sadness, pain, surprise, or sorrow. An authoru0027s dexterity in the use of these emotions captivates readers and makes it difficult for them to put the book down. In this paper, we model the flow of emotions over a book using recurrent neural networks and quantify its usefulness in predicting success in books. We obtained the best weighted F1-score of 69% for predicting booksu0027 success in a multitask setting (simultaneously predicting success and genre of books).

Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books