In my node “Aprior(3.7)”, there is a column that is of type string (Twitter), containing phrases (texts), however in the “Preliminary Attribute Check”, it shows the error: weka.associations.Apriori: Cannot handle string attributes!
How to resolve this trauma?
@Perciliano technically you can try and use the:
in order to make sure the type is properly recognized.
But I would suggest you think about what it is you want to do. I think just out of a collection of text this node will not be able to extract meaningful results.
If you are interested in Rule Mining here are some examples but they require certain data preparations:
I have tried the few lines but they do not make that much sense and for the
Weka nodes I had in mind they do not have the right format. So I used an older example I had from a Kaggle DS. It is just for illustration the values do not make much sense with regards to a sequence.
These basic differences
Weka HotSpot can deal with strings and numbers and would accept a Target (in your case if you want to differentiate between Errors and Non-Errors). This might potentially handle your duration value…
It is also possible that you would want to think about what it is you want to achieve and what methods might be the right ones.
Some tasks might be more in the area of Topic Modeling and Detection: