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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/W11-3903.pdf