Natural Language Processing

Part I - Concepts and Technology.- Chapter 1 Introduction to Natural Language Processing.- Chapter 2 N-gram Language Model.- Chapter 3 Part-of-Speech Tagging.- Chapter 4 Syntax and Parsing.- Chapter 5 Meaning Representation.- Chapter 6 Semantic Analysis.- Chapter 7 Pragmatic Analysis and Discourse.- Chapter 8 Transfer Learning and Transformer Technology.- Chapter 9 Major Natural Language Processing Applications.- Part II -Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10 Workshop#1 - Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11 Workshop#2 - N-grams Modeling with Natural Language Toolkit (Hour 3-4).- Chapter 12 Workshop#3 - Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13 Workshop#4 - Semantic Analysis and Word Vectors using spaCy (Hour 7-8).- Chapter 14 Workshop#5 - Sentiment Analysis and Text Classification (Hour 9-10).- Chapter 15 Workshop#6 - Transformers with spaCy and TensorFlow (Hour11-12).- Chapter 16. Workshop#7 - Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).

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• Aprendizagem mecânica
• Bases de Dados
• Linguagem natural e tradução mecânica
• Inteligência artificial
• Programação e linguagens de script: geral

Natural Language Processing;Artificial Intelligence;Chatbot;Machine Learning;Neural Networks;Python