Text Classification is a process of assigning labels or categories to a piece of text. For example, one might classify a text based on the topic, or sort the text based on the group that it should correspond to. Usually, it involves training a model on a large dataset of labeled text examples and then, using that trained model to predict the label or category for new and unseen texts. This method has several specific use cases in business, ranging from spam and toxicity detection to news categorization and sentiment analysis.