hope someone kindly put time here,
my approach is like this: TFIDF -> LDA -> SVM
I am using LDA to extract topics. I want to do topic modelling and use the topics as features to do document classification.
I know that I have to send the feature vector to SVM, but my question is that how can I make this feature vector to send to svm? Is featureValue here is the probability assigned to each word? My question is kind of the step 3 in the below link that I dont know how to do it
but in this link there is no implementation, that is just explanation.
Many thanks for your time:)