Natural Language Processing

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

Natural Language Processing, or NLP, is a subset of artificial intelligence that focuses on the interaction between computers and humans through natural language. The goal is to read, decipher, understand, and make sense of human language in a valuable way. It's used for tasks such as translation, sentiment analysis, speech recognition, and topic segmentation. In this hierarchy, NLP falls under Big Data Technology because it deals with vast amounts of data and requires powerful processing capabilities. The ability to analyze and interpret large volumes of text is crucial for NLP, which makes big data technology an essential component. Additionally, NLP can be applied in the context of other parent categories such as Technology, Artificial Intelligence, and Deep Learning. For instance, NLP techniques are often used in deep learning models for tasks like sentiment analysis or machine translation, demonstrating its relevance to these areas as well.

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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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