AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
Mohamed Dermouche, Leila Khouas, Julien Velcin, Sabine Loudcher
- Anthology ID:
- S13-2059
- Volume:
- Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
- Month:
- June
- Year:
- 2013
- Address:
- Atlanta, Georgia, USA
- Editors:
- Suresh Manandhar, Deniz Yuret
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 364–368
- Language:
- URL:
- https://preview.aclanthology.org/landing_page/S13-2059/
- DOI:
- Cite (ACL):
- Mohamed Dermouche, Leila Khouas, Julien Velcin, and Sabine Loudcher. 2013. AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), pages 364–368, Atlanta, Georgia, USA. Association for Computational Linguistics.
- Cite (Informal):
- AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis (Dermouche et al., SemEval 2013)
- PDF:
- https://preview.aclanthology.org/landing_page/S13-2059.pdf