- Anthology ID:
- P14-2071
- Volume:
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Month:
- June
- Year:
- 2014
- Address:
- Baltimore, Maryland
- Editors:
- Kristina Toutanova, Hua Wu
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 434–439
- Language:
- URL:
- https://aclanthology.org/P14-2071
- DOI:
- 10.3115/v1/P14-2071
- Cite (ACL):
- Bing Xiang and Liang Zhou. 2014. Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 434–439, Baltimore, Maryland. Association for Computational Linguistics.
- Cite (Informal):
- Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training (Xiang & Zhou, ACL 2014)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/P14-2071.pdf