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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, such as text or speech, to perform tasks like sentiment analysis, machine translation, and chatbots. NLP combines computational linguistics with machine learning and deep learning to bridge the gap between human communication and computer understanding.

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

Developers should learn NLP when building applications that involve text or speech interaction, such as virtual assistants, content recommendation systems, or automated customer support. It's essential for tasks like extracting insights from unstructured data, automating document processing, or creating multilingual interfaces, making it valuable in industries like healthcare, finance, and e-commerce. With the rise of AI-driven tools, NLP skills are increasingly in demand for developing intelligent systems that can handle natural language inputs effectively.

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