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Natural Language Processing

Natural Language Processing (NLP) is a subfield of artificial intelligence and linguistics focused on enabling computers to understand, interpret, and generate human language. It involves techniques for processing and analyzing large amounts of natural language data, including tasks like text classification, sentiment analysis, machine translation, and named entity recognition. NLP combines computational linguistics with statistical, machine learning, and deep learning models to bridge the gap between human communication and computer understanding.

Also known as: NLP, Natural Language Understanding, Computational Linguistics, Text Analytics, Language AI
🧊Why learn Natural Language Processing?

Developers should learn NLP when building applications that involve text or speech data, such as chatbots, search engines, content recommendation systems, or automated customer service tools. It's essential for extracting insights from unstructured text data, automating language-related tasks, and creating more intuitive human-computer interfaces. Specific use cases include spam detection in emails, voice assistants like Siri or Alexa, and sentiment analysis for social media monitoring.

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