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1. Emotional Content in Novels for Literary Genre Prediction : And Impact of Feature Selection on Text Classification Models
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Automatic literary genre classification presents a challenging task for Natural Language Processing (NLP) systems, mainly because literary texts have deeper levels of meanings, hold distinctive themes, and communicate certain messages and emotions. We conduct a study where we experiment with building literary genre classifiers based on emotions in novels, to investigate the effects that features pertinent to emotions have on models of genre prediction. READ MORE
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