Abstract:In modern information societies, there are information systems that track and log parts of the ongoing political discourse. Due to the sheer volume of the accumulated data, automated tools are required in order to enable citizens to better interpret political statements and promises, as well as evaluate their truthfulness. We propose an approach to use the established machine learning and data mining techniques for analyzing annotated political statements and promises available via the Serbian Truth-ometer (Is… Show more
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