@article{journals/corr/JannidisRZ0HH16,
  added-at = {2018-08-13T00:00:00.000+0200},
  author = {Jannidis, Fotis and Reger, Isabella and Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2cb1df5fdaad52a4bbe75de65838b0dcd/dblp},
  ee = {http://arxiv.org/abs/1611.09028},
  interhash = {9910860991652b73561faba8ba7974a2},
  intrahash = {cb1df5fdaad52a4bbe75de65838b0dcd},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-08-14T13:23:07.000+0200},
  title = {Analyzing Features for the Detection of Happy Endings in German Novels.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1611.html#JannidisRZ0HH16},
  volume = {abs/1611.09028},
  year = 2016
}

@misc{jannidis2016analyzing,
  abstract = {With regard to a computational representation of literary plot, this paper
looks at the use of sentiment analysis for happy ending detection in German
novels. Its focus lies on the investigation of previously proposed sentiment
features in order to gain insight about the relevance of specific features on
the one hand and the implications of their performance on the other hand.
Therefore, we study various partitionings of novels, considering the highly
variable concept of "ending". We also show that our approach, even though still
rather simple, can potentially lead to substantial findings relevant to
literary studies.},
  added-at = {2017-10-11T13:02:23.000+0200},
  author = {Jannidis, Fotis and Reger, Isabella and Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d53fbdb472c98d27855e057727afd0cd/chaefner},
  description = {[1611.09028] Analyzing Features for the Detection of Happy Endings in German Novels},
  interhash = {9910860991652b73561faba8ba7974a2},
  intrahash = {d53fbdb472c98d27855e057727afd0cd},
  keywords = {bibsonomy collaborative-information-search database definition engineering},
  note = {cite arxiv:1611.09028},
  timestamp = {2017-10-26T16:22:26.000+0200},
  title = {Analyzing Features for the Detection of Happy Endings in German Novels},
  url = {http://arxiv.org/abs/1611.09028},
  year = 2016
}

@misc{jannidis2016analyzing,
  abstract = {With regard to a computational representation of literary plot, this paper
looks at the use of sentiment analysis for happy ending detection in German
novels. Its focus lies on the investigation of previously proposed sentiment
features in order to gain insight about the relevance of specific features on
the one hand and the implications of their performance on the other hand.
Therefore, we study various partitionings of novels, considering the highly
variable concept of "ending". We also show that our approach, even though still
rather simple, can potentially lead to substantial findings relevant to
literary studies.},
  added-at = {2017-09-25T09:48:01.000+0200},
  author = {Jannidis, Fotis and Reger, Isabella and Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d53fbdb472c98d27855e057727afd0cd/schwemmlein},
  description = {[1611.09028] Analyzing Features for the Detection of Happy Endings in German Novels},
  interhash = {9910860991652b73561faba8ba7974a2},
  intrahash = {d53fbdb472c98d27855e057727afd0cd},
  keywords = {endings german happy kallimachos literature myown novels},
  note = {cite arxiv:1611.09028},
  timestamp = {2017-09-25T09:48:01.000+0200},
  title = {Analyzing Features for the Detection of Happy Endings in German Novels},
  url = {http://arxiv.org/abs/1611.09028},
  year = 2016
}

@misc{jannidis2016analyzing,
  abstract = {With regard to a computational representation of literary plot, this paper
looks at the use of sentiment analysis for happy ending detection in German
novels. Its focus lies on the investigation of previously proposed sentiment
features in order to gain insight about the relevance of specific features on
the one hand and the implications of their performance on the other hand.
Therefore, we study various partitionings of novels, considering the highly
variable concept of "ending". We also show that our approach, even though still
rather simple, can potentially lead to substantial findings relevant to
literary studies.},
  added-at = {2016-12-12T03:10:05.000+0100},
  author = {Jannidis, Fotis and Reger, Isabella and Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d53fbdb472c98d27855e057727afd0cd/dmir},
  description = {[1611.09028] Analyzing Features for the Detection of Happy Endings in German Novels},
  interhash = {9910860991652b73561faba8ba7974a2},
  intrahash = {d53fbdb472c98d27855e057727afd0cd},
  keywords = {author:zehe dh from:albinzehe happyend kallimachos myown sentimentanalysis},
  note = {cite arxiv:1611.09028},
  timestamp = {2024-01-18T10:31:52.000+0100},
  title = {Analyzing Features for the Detection of Happy Endings in German Novels},
  url = {http://arxiv.org/abs/1611.09028},
  year = 2016
}

@misc{jannidis2016analyzing,
  abstract = {With regard to a computational representation of literary plot, this paper
looks at the use of sentiment analysis for happy ending detection in German
novels. Its focus lies on the investigation of previously proposed sentiment
features in order to gain insight about the relevance of specific features on
the one hand and the implications of their performance on the other hand.
Therefore, we study various partitionings of novels, considering the highly
variable concept of "ending". We also show that our approach, even though still
rather simple, can potentially lead to substantial findings relevant to
literary studies.},
  added-at = {2016-12-07T10:15:26.000+0100},
  author = {Jannidis, Fotis and Reger, Isabella and Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d53fbdb472c98d27855e057727afd0cd/albinzehe},
  description = {[1611.09028] Analyzing Features for the Detection of Happy Endings in German Novels},
  interhash = {9910860991652b73561faba8ba7974a2},
  intrahash = {d53fbdb472c98d27855e057727afd0cd},
  keywords = {author:zehe gpugrant happyend kallimachos myown proposal-knowledge sentimentanalysis},
  note = {cite arxiv:1611.09028},
  timestamp = {2023-10-11T10:29:52.000+0200},
  title = {Analyzing Features for the Detection of Happy Endings in German Novels},
  url = {http://arxiv.org/abs/1611.09028},
  year = 2016
}

@misc{jannidis2016analyzing,
  abstract = {With regard to a computational representation of literary plot, this paper
looks at the use of sentiment analysis for happy ending detection in German
novels. Its focus lies on the investigation of previously proposed sentiment
features in order to gain insight about the relevance of specific features on
the one hand and the implications of their performance on the other hand.
Therefore, we study various partitionings of novels, considering the highly
variable concept of "ending". We also show that our approach, even though still
rather simple, can potentially lead to substantial findings relevant to
literary studies.},
  added-at = {2016-12-01T09:23:25.000+0100},
  author = {Jannidis, Fotis and Reger, Isabella and Zehe, Albin and Becker, Martin and Hettinger, Lena and Hotho, Andreas},
  biburl = {https://www.bibsonomy.org/bibtex/2d53fbdb472c98d27855e057727afd0cd/hotho},
  description = {Analyzing Features for the Detection of Happy Endings in German Novels},
  interhash = {9910860991652b73561faba8ba7974a2},
  intrahash = {d53fbdb472c98d27855e057727afd0cd},
  keywords = {2016 detection dh ending happy myown novel},
  note = {cite arxiv:1611.09028},
  timestamp = {2016-12-01T09:23:25.000+0100},
  title = {Analyzing Features for the Detection of Happy Endings in German Novels},
  url = {http://arxiv.org/abs/1611.09028},
  year = 2016
}