SAP-RI: Twitter Sentiment Analysis in Two Days
Akriti Vij, Nishta Malhotra, Naveen Nandan, Daniel Dahlmeier · 2014
We describe the submission of the SAP Research & Innovation team to the Se-mEval 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 F 1 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.