Prediction of Happy Endings in German Novels
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Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016, page 9-16. (July 2016)

Identifying plot structure in novels is a valuable step towards automatic processing of literary corpora. We present an approach to classify novels as either having a happy ending or not. To achieve this, we use features based on different sentiment lexica as input for an SVM- classifier, which yields an average F1-score of about 73%.
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