Our submissions to the 2017 SMM4H Shared Tasks Workshop obtained the first and third ranks in Task1 and Task 2, respectively. In Task 1, the systems had to determine whether a given tweet mentions an adverse drug reaction. In Task 2, the goal was ...
We created a real-valued sentiment composition lexicon for opposing polarity phrases and their constituent words, through manual annotation. We analyzed patterns of sentiment composition across phrases formed with different POS combinations. Furth...
We created two state-of-the-art SVM classifiers, one to detect the sentiment of messages and one to detect the sentiment of a term within a message. Our submissions on tweet data stood first in both these subtasks of the SemEval-2013 competition ‘...
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