Text clustering

Text clustering is a method used to organize large amounts of written content into meaningful groups based on their similarities. For example, it can automatically sort news articles into categories like sports, politics, or technology without needing predefined labels. It works by analyzing words and patterns within the text to identify common themes or topics. This helps in quickly understanding the main ideas in a collection of documents, making it easier to find relevant information, identify trends, or streamline content management. Essentially, it's a way for computers to group similar texts together automatically.