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LDA = function lda(bag_of_words(document)) => returns a point in (num-topics) space.
Train an SVM on
category(document) -> lable lda(bow(document)) -> point
And do this for all training documents.
Then run test documents and check if category(document) == category(svm(category(document), lda(bow(document)))
For all such elements, give a %correct and %incorrect. These are our metrics.
Yash says that if a document contains more than one category, we can safely ignore it.
The text was updated successfully, but these errors were encountered:
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LDA = function lda(bag_of_words(document)) => returns a point in (num-topics) space.
Train an SVM on
And do this for all training documents.
Then run test documents and check if category(document) == category(svm(category(document), lda(bow(document)))
For all such elements, give a %correct and %incorrect. These are our metrics.
Yash says that if a document contains more than one category, we can safely ignore it.
The text was updated successfully, but these errors were encountered: