"Weighted Word List based Text Classification"

New Altair Community Member
Updated by Jocelyn
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!
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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mrfarhankhan
New Altair Community Member
OPAnyone ???
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
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