Investigating the relationship between english twitter users` focus time and their psychographic characteristics

HIGHLIGHTS

• What: This Article shares the results of a study that looked at how Twitter users` attention changes over First the authors use deep neural classifiers to figure out the temporal emphasis at the tweet level by using language data. Test set Using a test set that was hand-crafted, the authors assess how well the classifiers performed. The authors provide a brief overview of the annotation guidelines: 1) Mark a tweet as "near past" if it refers to anything that happened within the previous four weeks from the time it was created, whether directly or indirectly. Correlation . . .
  

   

  

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