Natural Language Processing

Definition of Natural Language Processing as it relates to Technology, Artificial Intelligence, Deep Learning, Artificial Intelligence Applications

Natural Language Processing, or NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans through natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human language in a valuable way. It involves teaching computers how to understand human speech as it is spoken and then have the ability to react or respond accordingly. NLP allows for better communication between people and machines, making it an important aspect of artificial intelligence applications. As such, NLP can be found within technology, artificial intelligence, deep learning, and artificial intelligence applications categories. In this hierarchy, NLP serves as a tool for processing vast amounts of data in the form of human language to extract meaningful insights and patterns, paving the way for more sophisticated AI-powered solutions across various industries.

Note
  • [NaturalLanguageProcessing.com] Natural Language Processing - all about NLP | Consultancy In AI And Machine Learning
  • [CognitiveAI.org] Peter Jansen – natural language processing, cognitive artificial intelligence, and open source sensing
  • [kumo.ai] AI Platform - Improve my ML Model Performance, Predictive Graph Based Machine Learning For Marketing, Personalization, Platform, Pipelines, Fashion Retailers, B2C Ecommerce, Natural Language Processing, PYG MLOPS - Kumo
  • [winlp.org] Widening Natural Language Processing – Promoting diversity in NLP
  • [spacy.io] spaCy Industrial-strength Natural Language Processing in Python
  • [Outthought.co] outThought – Conversational Commerce | Natural Language Processing | AI
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