书名：
Natural Language Processing in Action Understanding, analyzing, and generating text with Python
作者：
HOBSON LANE
COLE HOWARD
HANNES MAX HAPKE
超高清pdf
有目录
2019年4月份出版注意这是英文版！

PART 1 - WORDY MACHINES
Chapter 1. Packets Of Thought (Nlp Overview)
Chapter 2. Build Your Vocabulary (Word Tokenization)
Chapter 3. Math With Words (Tf-Idf Vectors)
Chapter 4. Finding Meaning In Word Counts (Semantic Analysis)

PART 2 - DEEPER LEARNING (NEURAL NETWORKS)

Chapter 1. Baby Steps With Neural Networks (Perceptrons And Backpropagation)
Chapter 2. Reasoning With Word Vectors (Word2Vec)
Chapter 3. Getting Words In Order With Convolutional Neural Networks (Cnns)
Chapter 4. Loopy (Recurrent) Neural Networks (Rnns)
Chapter 5. Improving Retention With Long Short-Term Memory Networks
Chapter 6. Sequence-To-Sequence Models And Attention

PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)
Chapter 1. Information Extraction (Named Entity Extraction And Question Answering)
Chapter 2. Getting Chatty (Dialog Engines)
Chapter 3. Scaling Up (Optimization, Parallelization, And Batch Processing)