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Problem
Currently, "example_text_classification" example only supports English, so I would like to add a code to test the example in Korean.
Solution
Through Python, I will write an example code that can be text classified in Korean and then rewrite it in c language.
I am going to pre-processing Korean using KoNLPy library.
The text was updated successfully, but these errors were encountered:
As I know, KoNLPy is a pre-processor to tokenize Korean texts. With such tokens, you have to train the neural network model with the dataset of meaningful Korean texts. So... if there's no pre-trained model available, I think it's a non-trivial task (and out-of-scope of nnstreamer?).
Problem
Currently, "example_text_classification" example only supports English, so I would like to add a code to test the example in Korean.
Solution
Through Python, I will write an example code that can be text classified in Korean and then rewrite it in c language.
I am going to pre-processing Korean using KoNLPy library.
The text was updated successfully, but these errors were encountered: