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
Venue:
SemEval
SIGs:
SIGSEM | SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
364–368
Language:
URL:
https://aclanthology.org/S13-2059
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/S13-2059.pdf
Data
SemEval-2013 Task 2