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We can use CNN to classify more than 10 thousands of images of the ImageNet.
I find that CNN could only classify 10-20 text classes as this paper write.
So what is the high limit of short text classification's classes' number?
The text was updated successfully, but these errors were encountered:
That's interesting. Since CNN can be used to classify images into thousands of labels, I would also expect it able to classify thousands of labels when used for text classification...
We can use CNN to classify more than 10 thousands of images of the ImageNet.
I find that CNN could only classify 10-20 text classes as this paper write.
So what is the high limit of short text classification's classes' number?
The text was updated successfully, but these errors were encountered: