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Lecture 11: Gensim | Text Preprocessing

Gensim is an open-source Python library designed to work with textual data, specifically in the context of natural language processing (NLP). It is widely used for topic modeling, document similarity analysis, and other tasks related to processing and understanding large text corpora. Gensim provides efficient and scalable implementations of various algorithms for unsupervised machine learning and statistical modeling techniques, making it a popular choice among researchers and practitioners working with textual

This channel cater to individuals who are interested in learning about various aspects of machine learning, including concepts, algorithms, tools, and applications. This channel offer a wide range of resources to help learners, from beginners to advanced practitioners, understand and apply machine learning techniques effectively.

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