With this paper and the Implicit Emotion Shared Task, we presented the first dataset and joint effort to focus on causal descriptions to infer emotions that are triggered by specific life situations on a large scale. A substantial number of partic...
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 presented a system, TransProse, that generates music according to the use of emotion words in a given piece of text. A number of avenues for future work exist such as exploring the use of mid-piece key changes and intentional harmony and discor...
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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