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%.
%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 author:zehe gpugrant happyendecml kallimachos ma-zehe myown myown:selected sentimentanalysis
%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 = {2016-07-28T15:23:04.000+0200},
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/albinzehe},
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 = {author:zehe gpugrant happyendecml kallimachos ma-zehe myown myown:selected sentimentanalysis},
month = jul,
pages = {9-16},
timestamp = {2023-10-11T10:29:52.000+0200},
title = {Prediction of Happy Endings in German Novels},
url = {http://ceur-ws.org/Vol-1646/},
year = 2016
}