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Twitter as high or low in the following hours using the features extracted from news articles. We show how the number of messages in each province is correlated with the following variables, i.e., province-clever population, the space from Hubei to the corresponding province, GDP, GDP per capita, electricity consumption and highway transport volume in each province in Figure 4 (Figure S6 in the Appendix) . Additionally, we investigated how well DiscRE can generalize to newswire domain by projecting DiscREs of discourse relations in the PDTB testset into 2D tSNE in the same setting used for the visualization of causal and counterfatual relations (Figure 6). Though we used most coarse-grained discourse relation courses, DiscRE captured fairly coherent patterns of clusters for various relations. First, a number of damaging messages from totally different members within the in-group focused to an out-group recipient are as probably toxic as the identical variety of messages from a single source.

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