[Contributhon] updating available languages in "example_text_classification"

[JoJeongJin]

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.

[taos-ci]

:octocat: cibot: Thank you for posting issue #166. The person in charge will reply soon.

[dongju-chae]

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?).

[JoJeongJin]

I'll try to code using the existing model if possible. Thank you.