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What is Prison Term Prediction On Criminal Case Description With Deep Learning about?

The document presents a study on predicting prison terms for criminal cases using deep learning techniques, specifically focusing on theft cases in China. A two-step method is proposed that combines legal text analysis with machine learning models to extract relevant case features, achieving a mean absolute error of 3.2087 months and accuracies of 72.54% and 90.01% for error bounds of three and six months, respectively. The research aims to enhance judicial efficiency and accuracy by integrating legal princ

Author

parth.cs4015

Language

EN