What Is Text Classification?
Text classification is a machine learning subfield that teaches computers how to classify text into different categories. It's commonly used as a supervised learning technique, which means that the algorithm is trained on a set of texts that have already been labeled with their respective categories. Once it's been trained on this data, the algorithm can use what it's learned to make predictions about new, unlabeled texts.
The algorithm looks for patterns in the text to determine which category it belongs to. It's like when learning to recognize a certain type of flower — we start to notice certain features that distinguish it from other types of flowers. With text classification, the algorithm is doing the same thing but with words and phrases instead.