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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.

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