Language-Independent Twitter Sentiment Analysis

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.