Good training data for LDA generic classification?

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I'm classifying content based on LDA into generic topics such as Music, Technology, Arts, Science

This is the process i'm using,

9 topics -> Music, Technology, Arts, Science etc etc.

9 documents -> Music.txt, Technology.txt, Arts.txt, Science.txt etc etc.

I've filled in each document(.txt file) with about 10,000 lines of content of what i think is "pure" categorical content

I then classify a test document, to see how well the classifier is trained

My Question is,

a.) Is this an efficient way to classify text (using the above steps)

b.) Where should i be looking for "pure" topical content to fill each of these files? Sources which are not too large (text data > 1GB)

asked 29 secs ago

wolfgang5

1

Good training data for LDA generic classification?