Abstract
Sentiment Analysis is a Natural Language Processing-task that is relevant in a number of contexts, including the analysis of literature. We report on ongoing research towards enabling, for the first time, sentence-level Sentiment Analysis in the domain of German novels. We create a labelled dataset from sentences extracted from German novels and, by adapting existing sentiment classifiers, reach promising F1-scores of 0.67 for binary polarity classification.
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CITATION STYLE
Zehe, A., Becker, M., Jannidis, F., & Hotho, A. (2017). Towards Sentiment Analysis on German Literature. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10505 LNAI, pp. 387–394). Springer Verlag. https://doi.org/10.1007/978-3-319-67190-1_36
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