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Python's stronghold in Natural Language Processing (NLP) is unmistakable. NLP, a subfield of artificial intelligence, harnesses Python's extensive libraries like NLTK, spaCy, and state-of-the-art transformer models such as BERT and GPT-3 to empower machines to comprehend and generate human language. From chatbots and sentiment analysis to machine translation and text summarization, Python's versatility in NLP has transformed how we interact with and make sense of vast volumes of text data, revolutionizing industries like customer service, content recommendation, and language understanding.

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It is known that Python dominates Natural Language Processing (NLP). Natural language processing (NLP) is a branch of artificial intelligence that uses Python's rich libraries, like NLTK and spaCy, along with cutting-edge transformer models like BERT and GPT-3, to enable machines to understand and produce natural language. Python's adaptability in natural language processing (NLP) has revolutionized several sectors such as customer service, content recommendation, and language understanding. It has enabled us to engage with and make sense of large amounts of text data through chatbots, sentiment analysis, machine translation, and text summarization.
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