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

SEMEVAL 2017  ·  Chukwuyem Onyibe, Nizar Habash ·

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.

PDF Abstract

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here