Visual Representation of NLP Basics

Chapter 1

Sentence Splitting
Tokenization
Lemmatization
POS-Tagging
NER-Tagging
Morphological Analysis

Chapter 2

String Simiarities
Fuzzy Matching

Chapter 3: Deep Neural Networks

Word2Vec
Word Embeddings
Artificial Intelligence
Long Short Term Memory (LSTM)
Recurrent Neural Networks (RNN)

Chapter 4: Tools

Spacy
Compromise
Stanford CoreNLP
Google Cloud Natural Language API

Chapter 5: Use Cases