Day1
Neural Network & Basic information from text
• Tokenization
• N-gram Language Model
• Basic Text Mining (TF-IDF)

Day2
Sentiment Classification
• Vector Semantics
• Word2Vec
• Logistic Regression with PyTorch
• RNN(RNN, LSTM, GRU)

Day3
Text retrieval
• LDA
• CNN, AutoEncoder
• kmeans, hierarchical clustering, dbscan

Day4
딥러닝을 이용한 자연어 처리
• Seq2Seq, Encoder-Decoder Network
• Attention Mechanism
• BERT