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Natural Language Processing

Natural Language Processing (NLP) is a subfield of artificial intelligence and computational linguistics that focuses 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 and speech, to perform tasks like sentiment analysis, machine translation, and text summarization. NLP combines machine learning, deep learning, and linguistic rules 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 support. It is essential for tasks like extracting insights from social media, automating document processing, or developing voice-activated assistants, as it allows systems to handle unstructured language data efficiently and accurately.

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