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

Chukwuyem J. Onyibe; Nizar Habash

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

Chukwuyem J. Onyibe, Nizar Habash

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We describe a supervised system that uses optimized Conditional 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.

Original language	English (US)
Title of host publication	ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	670-674
Number of pages	5
ISBN (Electronic)	9781945626555
State	Published - 2017
Event	11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 - Vancouver, Canada Duration: Aug 3 2017 → Aug 4 2017

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)	0736-587X

Conference

Conference	11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
Country/Territory	Canada
City	Vancouver
Period	8/3/17 → 8/4/17

ASJC Scopus subject areas

Computer Science Applications
Linguistics and Language
Language and Linguistics

Cite this

Onyibe, C. J., & Habash, N. (2017). OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields. In ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop (pp. 670-674). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields. / Onyibe, Chukwuyem J.; Habash, Nizar.
ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2017. p. 670-674 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Onyibe, CJ & Habash, N 2017, OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields. in ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 670-674, 11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, 8/3/17.

Onyibe CJ, Habash N. OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields. In ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2017. p. 670-674. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Onyibe, Chukwuyem J. ; Habash, Nizar. / OMAM at SemEval-2017 Task 4 : English Sentiment Analysis with Conditional Random Fields. ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2017. pp. 670-674 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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abstract = "We describe a supervised system that uses optimized Conditional 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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OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields

Abstract

Publication series

Conference

ASJC Scopus subject areas

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