Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks

Jensen-Shannon divergence (JSD) is a distribution similarity measurement widely used in natural language processing. In corpus comparison tasks, where keywords are extracted to reveal the divergence between different corpora (for example, social media posts from proponents of different views on a political issue), two variants of JSD have emerged in the literature... (read more)

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