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Natural Language Processing

Natural Language Processing (NLP) is a field of artificial intelligence and computational 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 text summarization. NLP combines linguistics, computer science, and machine learning 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 interaction, such as chatbots, virtual assistants, content recommendation systems, or automated customer support. It is essential for tasks like extracting insights from unstructured data (e.g., social media posts or documents), improving search engines with semantic understanding, and enabling multilingual interfaces in global software. NLP skills are increasingly valuable in industries like healthcare, finance, and e-commerce for automating analysis and enhancing user experiences.

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