Dataset

text -> Original tweet text, as downloaded trough the Twitter APItext_final -> Text after cleanup, as used for lexicon matchinghour -> Date and time (only hour) at which the tweet was publishedtime_cat -> Dummy. Whether the tweet was published during the event [“cuenta”] or before/after the event [“no_cuenta”]rt_count -> Number of retweets at the moment of the download of the dataurl -> Dummy. The tweet text includes a urlmedia -> Dummy. The tweet had photo or videoEmoWord -> Total number of matches for emotional words or stems in the tweet textMoralWord -> Total number of matches for moral words or stems in the tweet textEmoMoralWord -> Total number of matches for both moral and emotional words or stems in the tweet textOnlyEmoWord -> Number of matches for emotional words or stems in tweet text (excluding those which also matched moral words or stems)OnlyMoralWord -> Number of matches for moral words or stems in tweet text (excluding those which also matched emotional words or stems)foll_div10 -> Number of followers of the account that published the tweet at the moment of the data download, divided by 10,000