Submitted to the International Conference on Machine Learning and Data Mining, Hamburg, Germany, 11-24 July 2015
ABSTRACT: Sentiment analysis has been well in the focus of researchers in recent years. Nevertheless despite the considerable amount of literature in the field, the majority of publications target the domains of movie and product reviews in English. The current paper presents a novel sentiment analysis method, which extends the state-of-the-art by trilingual sentiment classification in the domains of general news and particularly the coverage of natural disasters in the general news. The languages examined are English, German and Russian. The approach targets both traditional and social media content. The extensive experiments demonstrate that the performance of the proposed approach outperforms human annotators, as well as the original method, on which it is built and extended.
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