Applied Natural Language Processing with Python. Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

✍ Scribed by Taweh Beysolow II

• Publisher: Apress
• Year: 2018
• Tongue: English
• Leaves: 153
• Category: Library

✦ Table of Contents

Contents......Page 3
Intro......Page 6
Natural Language Processing......Page 7
History of NLP......Page 8
Review of Machine & Deep Learning......Page 10
Summary......Page 18
Multilayer Perceptrons & RNNs......Page 19
Summary......Page 47
Raw Text......Page 49
Tokenization & Stop Words......Page 50
Bag-of-Words Model (BoW)......Page 56
Summary......Page 80
Topic Model & Latent Dirichlet Allocation (LDA)......Page 82
Non-Negative Matrix Factorization (NMF)......Page 91
Word2Vec......Page 95
Continuous Bag-of-Words (CBoW)......Page 108
Global Vectors for Word Representation (GloVe)......Page 111
Paragraph2Vec - Distributed Memory of Paragraph Vectors (PV-DM)......Page 120
Summary......Page 123
Text Generation, Machine Translation, & other Recurrent Language Modeling Tasks......Page 125
Text Generation with LSTMs......Page 126
Name Entity Recognition Tagger......Page 132
Sequence-to-Sequence Models (Seq2Seq)......Page 137
Question & Answer with NN Models......Page 138
Summary......Page 145
Conclusion & Final Statements......Page 146
Index......Page 148