python - Text classification of websites -Appropriate classification algorithm - Labelled-LDA is best? -

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basically,

i'm extracting text data crawling business web pages , trying classify website type of business >>> restaurants, it, travel etc.

i've looked naive bayes classifcation , lda algorithms

and think labelled-lda way this, might wrong

is there better option suited type of application?

and please specify, if possible, opensource library best above

i don't know lda, these 3 known classifiers:

the used library scikit-learn. there tutorial naive bayes classifiers scikit-learn here.


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