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"Weighted Word List based Text Classification"

Hi.

I have a query regarding Text Classification.

I have a list of words with the following 3 attributes. word, weight, class. The class can be positive or negative. Weight is between -1 to 1.

How can I train a classifier like SVM using this word list to classify unseen documents?

Any sample process will be a great help.

Thanks
Farhan!

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Text Mining + NLP

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mrfarhankhan

Anyone ???

MartinLiebig

Hi,

i am not sure if you can do it the way you want to do it. Usually for classification you have a Bag of Words (with TF/IDF or so) like this


word1	word2	word3	label
1		2		1		true	
1		4		1		false


and then you learn on this. This is not the case for you. However, you can have a look on this thread: http://rapid-i.com/rapidforum/index.php/topic,8638.0.html there was a similar question with a dictionary. You can use a similar process like i have shown there. You just need to get the weights in (don't just use one example, but all).

Cheers,

Martin