bzantium / Nlp Tensorflow
Licence: mit
NLP Tensorflow Tutorials
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NLP Tutorial with Deep Learning using tensorflow
1. Install requirements
$ pip install -r requirements.txt
2. 01-sentiment_analysis
네이버 영화 평점 데이터를 이용하여 여러 딥러닝 모델을 비교해 볼 수 있습니다.
다양한 컴퓨터 사양으로 테스트 해 볼 수 있도록 데이터셋을 크기에 따라 세 가지를 두었습니다.
Contents
- Data Process
- Logistic Regression
- Feed Forward Neural Network
- RNN: with rnn tensorflow API explanation
- LSTM: uni-directional LSTM, bi-directional LSTM, deep-bi-directional LSTM
- CNN
- POS: with konlpy Twitter API
- Morphs: with konlpy Twitter API
- word2vec: with gensim API
- doc2vec: with gensim API
- Every model is defined at models
3. 02-nlp_application
딥러닝 모델을 이용하여 사용자의 입력을 받아 [감성분석, 삼행시만들기, 대화하기]를 테스트 할 수 있습니다.
훈련된 모델이 같이 들어있어 train 없이 바로 test 할 수 있으며, gpu 없이 train 할 시, 시간이 오래 걸릴 수 있습니다.
train
$ python train.py
implementation
$ python test.py
4. Notice
- 02-nlp_application/01-Sentiment 의 경우, models 폴더 안 model-31000.zip 파일의 압축을 풀어주어야 train 없이 바로 test 할 수 있습니다.
ubuntu/mac: how to unzip in command line
$ zip -FF model-31000.zip --out model-31000-full.zip
$ unzip model-31000-full.zip
-
모든 데이터는 한국어로 이루어져 있습니다.
-
konlpy 설치는 http://konlpy.org/en/v0.4.4/install/ 를 참조하세요.
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