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Polynominal sentiment analysis in SVM

User: "HeikoeWin786"
New Altair Community Member
Updated by Jocelyn
Dear all,

I am trying to perform SVM on the dataset where customer review as polynominal and sentiment score as bionominal. I had read the tutorials and figured out that SVM can only handle numerical and needed to convert nominal to numerical. However, is it to convert both customer reviews ans sentiment score to numerical? In which steps we need to convert? After processed the data? I am a bit confused of how sentiment analysis work in SVM in rapidminer. The RM tutorial under the sample templates is using text and binominal and not even converting to numerical.
Can anyone suggest me how to fix this issue correctly?
I had attached my process flow for your easy reference.

thanks.
Heikoe

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    User: "jacobcybulski"
    New Altair Community Member
    Accepted Answer
    You will face here a dillema of accuracy vs efficiency. If your data sample is sufficiently large it is likely that a simple split/holdout validation inside the drid optimisation will be enough. However, if you though that you needed cross-validation in the first place then I'd also place it inside the grid optimisation. What you may decide is to reduce the number of folds. Let's say that you optimise on C and gamma, both in 10 log steps, and you placed SVM inside a 10-fold cross validation, it means you'll be running SVM 10x10x10=1000 times. If you believe that a simple split will result in two representative samples then you can reduce the runs to 100.