Day1 
Neural Network & Basic information from text
&#8226; Tokenization
&#8226; N-gram Language Model
&#8226; Basic Text Mining (TF-IDF)

Day2
Sentiment Classification
&#8226; Vector Semantics
&#8226; Word2Vec 
&#8226; Logistic Regression with PyTorch 
&#8226; RNN(RNN, LSTM, GRU)

Day3 
Text retrieval
&#8226; LDA
&#8226; CNN, AutoEncoder
&#8226; kmeans, hierarchical clustering, dbscan

Day4
딥러닝을 이용한 자연어 처리
&#8226; Seq2Seq, Encoder-Decoder Network
&#8226; Attention Mechanism
&#8226; BERT
