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

  • Onyibe C
  • Habash N
N/ACitations
Citations of this article
56Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Onyibe, C., & Habash, N. (2018). OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields (pp. 670–674). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s17-2111

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free