Investigating the Applicability of current Machine-Learning based Subjectivity Detection Algorithms on German Texts

Malik Atalla, Christian Scheel, Ernesto William De Luca, Sahin Albayrak


Anthology ID:
W11-3903
Volume:
Proceedings of Workshop on Robust Unsupervised and Semisupervised Methods in Natural Language Processing
Month:
September
Year:
2011
Address:
Hissar, Bulgaria
Editors:
Chris Biemann, Anders Søgaard
Venue:
WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
17–24
Language:
URL:
https://aclanthology.org/W11-3903
DOI:
Bibkey:
Cite (ACL):
Malik Atalla, Christian Scheel, Ernesto William De Luca, and Sahin Albayrak. 2011. Investigating the Applicability of current Machine-Learning based Subjectivity Detection Algorithms on German Texts. In Proceedings of Workshop on Robust Unsupervised and Semisupervised Methods in Natural Language Processing, pages 17–24, Hissar, Bulgaria. Association for Computational Linguistics.
Cite (Informal):
Investigating the Applicability of current Machine-Learning based Subjectivity Detection Algorithms on German Texts (Atalla et al., 2011)
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PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/W11-3903.pdf