Natural Language Processing

Definition of Natural Language Processing as it relates to Electronics, Computers, Artificial Intelligence Computers, Deep Learning

Natural Language Processing (NLP) refers to the ability of computers and electronic systems to understand, interpret, generate, and make sense of human language in a valuable way. It's an essential component of artificial intelligence that deals with the interaction between machines and humans through natural language. NLP combines computational linguistics—rule and statistical modeling of human language—with machine learning, and deep learning techniques to enable computers to process large amounts of text data efficiently and accurately. The goal of NLP is to extract insights from unstructured data sources like social media feeds, news articles, emails, and customer reviews, making it an indispensable tool in areas such as sentiment analysis, speech recognition, machine translation, question answering, and information extraction.

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
Related Categories ⇒