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