submitted to the 11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014, University Park, PA, USA.
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 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.
This paper counts with the participation of SAIL LABS´s head of research Gerhard Backfried. The work was presented at the International Conference on Machine Learning and Data Mining (11th – 24th of July 2015, Hamburg, Germany).
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