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Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters

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Academic year: 2020

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Figure

Figure 1: Graphical representation of our algo-rithm
Table 3: Hurricane impact (left) and public util-ity (right) topics under positive and negative sen-timent labels for New York and Florida states onOct

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