"Score Intensity of Emotions (Anger, Sadness, Joy, Fear) in tweets"

mediciromediciro Member Posts: 1 Learner I
edited May 2019 in Help
HI all!

we are currently working on the following challenge: 

We need to give an intensity score to a tweet to reflect as much it fits to an label e.g. Anger

Data Structure: 
•ID\t TweetText\t Affect\tIntensityScore
•2017-En-22248\t I'm shakingnow.\t fear\t 0.812

The label is given so the target it to predict the score. 

Can anyone tell us, how we can set up a score prediction in Rapidminer? We usually need two labels, but we do not know how to create an input, which is giving the modules what it needs. 




  • Options
    Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    This is a typical case of text mining with a nominal label (with more than two categories).  Take a look at some of the tutorial and training resources for text mining and it should give you some information to get started.
    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
  • Options
    sgenzersgenzer Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959 Community Manager
    Or you can just use the IBM Tone Analyzer API webservice which will give you all those scores.


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