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dataset.RData (2.52 MB)
Dataset
- text -> Original tweet text, as downloaded trough the Twitter API
- text_final -> Text after cleanup, as used for lexicon matching
- hour -> Date and time (only hour) at which the tweet was published
- time_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 data
- url -> Dummy. The tweet text includes a url
- media -> Dummy. The tweet had photo or video
- EmoWord -> Total number of matches for emotional words or stems in the tweet text
- MoralWord -> Total number of matches for moral words or stems in the tweet text
- EmoMoralWord -> Total number of matches for both moral and emotional words or stems in the tweet text
- OnlyEmoWord -> 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
