An Introduction to Topic modelling

Topic modeling is a technique used in natural language processing to discover the main themes or topics within a collection of text documents. It helps computers understand and organize large amounts of text. Think of it like sorting books into categories in a library. By identifying the key topics in text, we can group similar documents together and make it easier to search for information or analyze trends in data. This is useful in applications like news categorization, content recommendation, and understanding what people are talking about on the internet.

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