topic modeling

Topic modeling is a technique used to discover the main themes or subjects within a large collection of text data. It identifies patterns by analyzing the words that frequently appear together, grouping them into clusters called "topics." For example, in a set of news articles, topic modeling can reveal categories like politics, sports, or technology without manually reading each piece. This helps researchers and organizations quickly understand the core ideas present in vast amounts of text, making data more manageable and insights more accessible.