%0 Conference Paper %1 zehe2016prediction %A Zehe, Albin %A Becker, Martin %A Hettinger, Lena %A Hotho, Andreas %A Reger, Isabella %A Jannidis, Fotis %B Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016 %D 2016 %E Cellier, Peggy %E Charnois, Thierry %E Hotho, Andreas %E Matwin, Stan %E Moens, Marie-Francine %E Toussaint, Yannick %K %P 9-16 %T Prediction of Happy Endings in German Novels %U http://ceur-ws.org/Vol-1646/ %X 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%.

@inproceedings{zehe2016prediction, abstract = {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%.}, added-at = {2023-12-12T18:42:35.000+0100}, author = {Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas and Reger, Isabella and Jannidis, Fotis}, biburl = {https://www.bibsonomy.org/bibtex/29ddc772f353775ba2843b0c28507a193/admin}, booktitle = {Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016}, editor = {Cellier, Peggy and Charnois, Thierry and Hotho, Andreas and Matwin, Stan and Moens, Marie-Francine and Toussaint, Yannick}, interhash = {1623c8e3f187c0dab8db0ab93df51ea8}, intrahash = {9ddc772f353775ba2843b0c28507a193}, keywords = {}, month = jul, pages = {9-16}, timestamp = {2023-12-12T18:42:35.000+0100}, title = {Prediction of Happy Endings in German Novels}, url = {http://ceur-ws.org/Vol-1646/}, year = 2016 }