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

2017-08-01SEMEVAL 2017Unverified0· sign in to hype

Chukwuyem Onyibe, Nizar Habash

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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.

Tasks

Opinion Mining Sentiment Analysis Stance Detection

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

Abstract

Tasks

Reproductions