How many classes can CNN classify the short text?

Question

I know that CNN(conv-neural-network) could 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.

How many classes can CNN classify the short text? What is the high limit of the classes number?

Answer 1

The number of categories a classifier could classify with good precision/recall is decided by (but not limited to):

• how distinct each category is?
• how many features you could derive from the content (short text definitely carries much less information here than images) -- since you are using CNN for text, I assume the features would be merely characters or words.
• How these features work to differentiate between categories?
• how many high-quality labeled examples you have? (We don't have a public labeled large multi-category dataset for short text)

It's hard to just give you a number without knowing the answers to above questions.