Like SemEval 2013 and 2014, the task Sentiment Analysis in Twitter found a place in this year's SemEval too and attracted an unprecedented number of participations. This task comprises of four sub-tasks. We participated in subtask 2 - Message polarity classification. Although we lie a few notches down from the top system, we present a very simple yet effective approach to handle this problem that can be implemented in a single day!
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