Natural Language Processing

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

Natural Language Processing (NLP) is a branch of Artificial Intelligence Techniques that deals with the interaction between computers and human language. It involves creating algorithms and models that can understand, interpret, generate, and make sense of human language in a valuable way. NLP is deeply rooted in Data Science and Technology as it relies heavily on the analysis of large amounts of data to train models that can process natural language effectively. In the context of Deep Learning, NLP utilizes neural networks and deep learning architectures to build sophisticated models for tasks such as sentiment analysis, machine translation, speech recognition, and text summarization. NLP is a powerful tool in Artificial Intelligence as it enables machines to better understand human language and communicate with us more naturally.

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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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