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15-Jun-2017 20:11

Starting form (Wiebe, Wilson and Cardie, 2005) we created an annotation schema able to capture a wide range and key elements, which give subjectivity, moving a step forward the mere polarity recognition.

In particular, the experiments concern expressions of emotion, as a finer-grained analysis of affect in text and a subsequent task to opinion mining (OM) and classification.

We employ corpora of different textual genres a set of annotated reported speech extracted from news articles, the set of news titles annotated with polarity and emotion from the Sem Eval 2007 (Task 14) and ISEAR, a corpus of real-life selfexpressed emotion.At the moment, NLP tools and methods for analyzing objective information have a better performance than the new ones the research community is creating for managing the subjective content.



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