We live in a world where streams of data are continuously collected. Searching for insights from the collected information can therefore become very tedious and time-consuming. Topic modeling was designed as a tool to organize, search, and understand vast quantities of textual information.

What is topic modeling?

In machine learning, a topic model is specifically defined as a natural language processing technique used to discover hidden semantic structures of text in a collection of documents, usually called corpus. In general, each document refers to a continuous set of words, like a paragraph or an article, where each article contains a set of words.

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