Natural Language Processing

Definition of Natural Language Processing as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms

Natural Language Processing (NLP) refers to the ability of computers to analyze, understand and generate human language in a valuable way. It's an area of artificial intelligence that focuses on making machines understand natural language by bridging the gap between human communication and computer understanding. NLP combines computational linguistics—rule and statistical modeling of human language—with machine learning, deep learning models and other AI algorithms to enable computers to comprehend and respond to text or voice inputs in a useful manner. It is used in various technology applications like search engines, translation software, virtual assistants, chatbots, and more. NLP aims to create systems that can read, decipher, understand, and make sense of human language in a valuable way, making interactions between computers and humans more natural and intuitive.

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[Artificial Intelligence Technology]

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  • [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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