Natural Language Processing

Definition of Natural Language Processing as it relates to Technology, Machine Learning, Software Development

Natural Language Processing, or NLP, is a facet of software development concerned with the interaction between computers and humans through natural language. The focus of NLP is to read, decipher, understand, and make sense of human language in a valuable way. It's a challenging task as computational understanding of the full range of human language across different cultures is complex and requires sophisticated approaches. In the hierarchy of Technology/Machine Learning/Software Development, NLP sits as a critical component of software development. As machine learning continues to advance, NLP techniques are becoming increasingly important, allowing computers to understand large amounts of natural language data. The applications for this technology span across various industries and use cases including translation services, sentiment analysis, speech recognition, and more. Essentially, NLP enables machines to comprehend human language in a manner that adds value and facilitates better communication between humans and machines.

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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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