Automatic analysis of online conversations as processes
Abstract
The tremendous use of social media has changed the way society communicates and interacts nowadays, leading to a plethora of online conversations (Perrin et al., 2017). The increasing availability of these conversations as behavioral traces has enabled automatic approaches for behavior discovery and analysis. These approaches, grounded in machine learning, data mining and language processing have become effective predictive components and intelligent descriptive tools for many domains.
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