@inproceedings{onyibe-habash-2017-omam,
title = "{OMAM} at {S}em{E}val-2017 Task 4: {E}nglish Sentiment Analysis with Conditional Random Fields",
author = "Onyibe, Chukwuyem and
Habash, Nizar",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2111",
doi = "10.18653/v1/S17-2111",
pages = "670--674",
abstract = "We describe a supervised system that uses optimized Condition Random Fields and lexical features to predict the sentiment of a tweet. The system was submitted to the English version of all subtasks in SemEval-2017 Task 4.",
}
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%0 Conference Proceedings
%T OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields
%A Onyibe, Chukwuyem
%A Habash, Nizar
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F onyibe-habash-2017-omam
%X We describe a supervised system that uses optimized Condition Random Fields and lexical features to predict the sentiment of a tweet. The system was submitted to the English version of all subtasks in SemEval-2017 Task 4.
%R 10.18653/v1/S17-2111
%U https://aclanthology.org/S17-2111
%U https://doi.org/10.18653/v1/S17-2111
%P 670-674
Markdown (Informal)
[OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields](https://aclanthology.org/S17-2111) (Onyibe & Habash, SemEval 2017)
ACL