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We describe the submission of the SAP Research & Innovation team to the SemEval 2014 Task 9: Sentiment Analysis in Twitter. We challenged ourselves to develop a competitive sentiment analysis system within a very limited time frame. Our submission was developed in less than two days and achieved an F1 score of 77.26% for contextual polarity disambiguation and 55.47% for message polarity classification, which shows that rapid prototyping of sentiment analysis systems with reasonable accuracy is possible.

SAP-RI: Twitter Sentiment Analysis in Two Days