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This article discusses the growing popularity of Natural Language Processing (NLP) and the accessibility of NLP libraries in Python. It highlights NLTK as a popular introductory library, but also mentions its limitations for production-ready applications. The article then introduces Gensim as a memory-independent library for topic modeling, making it efficient for processing large amounts of data.
