pone.0253569.s002.docx (26.94 kB)
This file contains all the classification reports for all the classifier tested (S1–S5 Tables in S1 File), the keywords adopted to retrieve the tweets (S6 Table in S1 File).
journal contribution
posted on 2021-07-09, 18:37 authored by Samantha Ajovalasit, Veronica Maria Dorgali, Angelo Mazza, Alberto d’Onofrio, Piero Manfredi(DOCX)
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up-and-down trendsentiment analysismethods Firstfuelling vaccine scepticismdisorientationTwitter dataItalian governmentimmunization policytime seriesItaly Backgroundmeasles outbreaksTwitter signalspolarity proportions exhibitvaccination coverageMMRimmunization topicspolarity evaluationscontrast misinformationhealth topicsfavourable proportionelections campaigngovernment in-charge
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