OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields

Chukwuyem Onyibe; Nizar Habash

doi:10.18653/v1/S17-2111

OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields

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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.

Anthology ID:: S17-2111
Volume:: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:: August
Year:: 2017
Address:: Vancouver, Canada
Editors:: Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
Note:
Pages:: 670–674
Language:
URL:: https://aclanthology.org/S17-2111/
DOI:: 10.18653/v1/S17-2111
Bibkey:
Cite (ACL):: Chukwuyem Onyibe and Nizar Habash. 2017. OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 670–674, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):: OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields (Onyibe & Habash, SemEval 2017)
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PDF:: https://aclanthology.org/S17-2111.pdf

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@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

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Markdown (Informal)

[OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields](https://aclanthology.org/S17-2111/) (Onyibe & Habash, SemEval 2017)

OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields (Onyibe & Habash, SemEval 2017)

ACL

Chukwuyem Onyibe and Nizar Habash. 2017. OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 670–674, Vancouver, Canada. Association for Computational Linguistics.