A. Zehe, M. Becker, F. Jannidis, and A. Hotho. KI 2017: Advances in Artificial Intelligence, page 387--394. Cham, Springer International Publishing, (2017)
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.
Description
Towards Sentiment Analysis on German Literature | SpringerLink
%0 Conference Paper
%1 zehe2017towards
%A Zehe, Albin
%A Becker, Martin
%A Jannidis, Fotis
%A Hotho, Andreas
%B KI 2017: Advances in Artificial Intelligence
%C Cham
%D 2017
%E Kern-Isberner, Gabriele
%E Fürnkranz, Johannes
%E Thimm, Matthias
%I Springer International Publishing
%K 2017 analysis dh myown sentiment
%P 387--394
%T Towards Sentiment Analysis on German Literature
%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
@inproceedings{zehe2017towards,
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 = {2018-01-31T12:52:53.000+0100},
address = {Cham},
author = {Zehe, Albin and Becker, Martin and Jannidis, Fotis and Hotho, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/2e874dcdf3abdd25dfae4e704da8bd3cc/hotho},
booktitle = {KI 2017: Advances in Artificial Intelligence},
description = {Towards Sentiment Analysis on German Literature | SpringerLink},
editor = {Kern-Isberner, Gabriele and F{\"u}rnkranz, Johannes and Thimm, Matthias},
interhash = {51b1aee01ccc9030fc78273210892aa5},
intrahash = {e874dcdf3abdd25dfae4e704da8bd3cc},
isbn = {978-3-319-67190-1},
keywords = {2017 analysis dh myown sentiment},
pages = {387--394},
publisher = {Springer International Publishing},
timestamp = {2018-01-31T12:52:53.000+0100},
title = {Towards Sentiment Analysis on German Literature},
year = 2017
}