Abstract:Although the identification of topics and sentiments from social media content has attracted substantial research, little work has been carried out on the extraction of causal relationships among those topics and sentiments. This article proposes a methodology aimed at building a causal graph where nodes represent topics and emotions extracted from social media users’ posts. To illustrate the proposed methodology, we collected a large multi-year dataset of tweets related to different editions of the G20 summit… Show more
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