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. 2020 Dec 18;22(12):e20920. doi: 10.2196/20920

Table 3.

Features of the tweets analyzed.

Features Analyses performed
Distribution over time Tweets per hour, tweets during daytime vs night, tweets per day, tweets during weekdays vs weekend
Length Number of characters, number of words
Part-of-speech (POS) Number of words by grammatical categories (part-of-speech tags)
Emotion analysis Frequencies of emotion types
Negations Frequencies of negation words
Polarity Polarity of tweets on the basis of Spanish Sentiment Lexicon