Text classification model

In the realm of machine learning, text classification models are pivotal. They are designed to assign predefined categories to unstructured text data. These models are extensively utilized in numerous applications, including but not limited to, spam filtering, sentiment analysis, and topic labeling. They serve as a means to organize, structure, and categorize a wide array of text types, from web content to medical studies and files.