For two-group classification issues, a support vector machine (SVM) is a supervised machine learning model that uses classification techniques. They may categorise new text after feeding an SVM model sets of labelled training data for each category.
Support vector machines (SVMs) are a class of supervised learning methods for classification, regression, and detection of outliers. The following are some of the benefits of support vector machines: In high-dimensional spaces, it works well. When the number of dimensions exceeds the number of samples, the method is still effective.