Natural Language Processing

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

Natural Language Processing, often abbreviated as NLP, is a branch of Artificial Intelligence that deals with the interaction between computers and human language. It involves creating algorithms and models that enable machines to understand, interpret, generate, and make sense of human language in a valuable way. In the context of Technology Data Science, NLP plays a crucial role in extracting meaningful insights from unstructured text data, which is abundant in many domains such as social media, customer feedback, and scientific literature. By applying NLP techniques, data scientists can classify text, identify entities, perform sentiment analysis, summarize text, and much more. This capability to process and analyze natural language helps organizations make informed decisions based on a deeper understanding of their data.

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[Machine Learning]

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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