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.
Beschreibung
Towards Sentiment Analysis on German Literature | SpringerLink
%0 Book Section
%1 Zehe2017
%A Zehe, Albin
%A Becker, Martin
%A Jannidis, Fotis
%A Hotho, Andreas
%B KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings
%C Cham
%D 2017
%E Kern-Isberner, Gabriele
%E Fürnkranz, Johannes
%E Thimm, Matthias
%I Springer International Publishing
%K 2017 analysis dh digital humanities literature mown sentiment
%P 387--394
%R 10.1007/978-3-319-67190-1_36
%T Towards Sentiment Analysis on German Literature
%U https://doi.org/10.1007/978-3-319-67190-1_36
%X 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.
%@ 978-3-319-67190-1
@inbook{Zehe2017,
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.},
added-at = {2017-09-24T08:45:32.000+0200},
address = {Cham},
author = {Zehe, Albin and Becker, Martin and Jannidis, Fotis and Hotho, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/2028ee1f84cc972f1bd309dfdcdd34351/hotho},
booktitle = {KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings},
description = {Towards Sentiment Analysis on German Literature | SpringerLink},
doi = {10.1007/978-3-319-67190-1_36},
editor = {Kern-Isberner, Gabriele and Fürnkranz, Johannes and Thimm, Matthias},
interhash = {51b1aee01ccc9030fc78273210892aa5},
intrahash = {028ee1f84cc972f1bd309dfdcdd34351},
isbn = {978-3-319-67190-1},
keywords = {2017 analysis dh digital humanities literature mown sentiment},
pages = {387--394},
publisher = {Springer International Publishing},
timestamp = {2017-09-24T08:45:32.000+0200},
title = {Towards Sentiment Analysis on German Literature},
url = {https://doi.org/10.1007/978-3-319-67190-1_36},
year = 2017
}