Topic Models

Topic models are statistical tools used to analyze large collections of documents to identify common themes or subjects. They work by examining the words within texts to find patterns, grouping similar words together to form "topics." These topics represent the main ideas or themes that tend to appear across many documents, helping us understand the underlying structure of large text datasets without reading everything. Think of it as automatically summarizing and categorizing content into meaningful themes, making it easier to explore and organize vast amounts of information efficiently.