Natural Language Meta Guide

Notes:

Natural language generation (NLG) is a subfield of artificial intelligence that focuses on generating human-like text from data or structured input. NLG systems are designed to analyze data, identify important information, and generate written or spoken text that accurately and clearly conveys this information. NLG systems can be used to generate reports, summaries, and other written content, as well as to generate responses for chatbots and virtual assistants.

Natural language processing (NLP) is a subfield of artificial intelligence that focuses on understanding and processing human language. NLP systems are designed to analyze and understand spoken or written language, and to extract meaning and structure from it. NLP systems can be used to perform tasks such as language translation, text classification, and sentiment analysis.

Natural language understanding (NLU) is a subfield of artificial intelligence that focuses on enabling machines to understand and interpret human language. NLU systems are designed to analyze and understand spoken or written language, and to extract meaning and intent from it. NLU systems can be used to build chatbots and virtual assistants that can understand and respond to user inputs, as well as to perform tasks such as language translation and text classification.

Resources:

cloud.google.com/automl .. easily train high quality custom machine learning models
facebookresearch/pytext .. deep-learning based nlp modeling framework

Wikipedia:

References: