Supreme court dialogue classification using machine learning models

Legal classification models help lawyers identify the relevant documents required for a study. In this study, focus is on sentence level classification. To be more precise, work undertaken focuses conversation in supreme court between justice and other correspondents. both naïve Bayes classifier logistic regression are used to classify conversations at level. The performance measured with of area under curve score. study found that model was trained specific case yielded better results than larger number conversations. Case specificity crucial gaining from classifier.