• Natural Language Processing with PyTorch
  • 소개글
  • To read
  • Index
  • Natural Language Processing with Deeplearning
    • Intro
    • Deeplearning
    • Why NLP is difficult
    • Why Korean NLP is Hell
    • Recent Trends
  • Hello PyTorch
    • Intro
    • How to install
    • PyTorch tutorial
  • Word Sense Disambiguation (WSD)
    • intro
    • Bayes Theorem
    • Naive Bayes
    • Selectional Preference
    • WordNet
  • Preprocessing
    • Intro
    • Collecting corpus
    • Cleaning corpus
    • Tokenization (POS Tagging)
    • Aligning parallel corpus
    • Subword Segmentation
    • Detokenization
    • TorchText
  • Word Embedding Vector
    • Intro
    • One-hot encoding
    • Previous methods
    • Word2Vec
    • GloVe
    • FastText
    • Advanced embedding
  • Sequence Modeling
    • Intro
    • Recurrent Neural Network
    • Long Short Term Memory
    • Gated Recurrent Unit
    • Gradient Clipping
  • Text Classification
    • Intro
    • Naive Bayes
    • Using CNN
    • Using RNN
    • Unsupervised Text Classification
  • Language Modeling
    • Intro
    • n-gram
    • Perpexity
    • n-gram Exercise (SRILM)
    • Neural Network Language Model
    • Applications
  • Neural Machine Translation
    • Intro
    • Sequence-to-Sequence
    • Auto-regressive and Teacher Forcing
    • Attention
    • Input Feeding
    • Search
    • Evaluation
    • Source Code
  • Advanced Topic on NMT
    • Multilingual NMT
    • Using Monolingual Corpora
    • Fully Convolutional Seq2seq
    • Transformer
  • NLP with Reinforcement Learning
    • Intro
    • Policy Gradients
    • RL on NLG
    • Supervised NMT
    • Unsupervised NMT
  • Exploit Duality
    • Duality
    • Dual Supervised Learning
    • Dual Unsupervised Learning
  • Productization
    • Pipeline
    • Google's NMT
    • Edinburgh's NMT
    • Microsoft's NMT
    • Booking.com's NMT
  • Advanced Topic
    • Memory Augmented Neural Network
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Naive Bayes

https://www.toptal.com/machine-learning/nlp-tutorial-text-classification

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