A labeled dataset of tweets on the ability to take action about city complaints
Dataset Description
The Link Between Emotions and Actionability
Finding a link between emotions and actionability tweets, Rana. 2022
This dataset aims to find actionable tweets tweeted about the City of Calgary that can pinpoint problems they should act upon.
The problem arises because they could not find any efficient methods to filter these actionable tweets. The current method used by the City of Calgary to find problems they can act upon requires a lot of human interaction and time.
Instead of spending all these resources to find problems, They believe these resources are better spent solving the problems. They
believe that tweets conveying a fearful emotion are more likely to be actionable.
The authors found a strong correlation of 0.694 between the number of fearful tweets per month to the number of actionable
tweets in a month. Additionally, the authors found out that a tweet that was labeled fearful has a 0.5 probability to be actionable.
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