We recently presented our work on a language-independent approach to sentiment analysis (positive or negative emotions) in tweets at KDML at LWA 2012, Dortmund, Germany.
We also present our evaluation dataset of human-annotated sentiments in tweets, collected using Amazon Mechanical Turk. You can download the dataset for research purposes.
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