A Comparison of Binary Classification Algorithms on Text

Text classification is a fundamental task in natural language processing (NLP) that involves assigning predefined categories or labels to textual data. Binary classification is a specific type of text classification where the goal is to classify text into one of two categories or classes. This type of classification has many practical applications, such as sentiment analysis, spam detection, and medical diagnosis.