Prediction of Happy Endings in German Novels based on Sentiment Information

Albin Zehe,Martin Becker,Lena Hettinger,Andreas Hotho,Isabella Reger,Fotis Jannidis

semanticscholar（2016）

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摘要

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 SVMclassifier, which yields an average F1-score of about 73%.

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