Abstract
In the era of big data, computer data has grown tremendously, especially in unstructured text data, and its growth rate is amazing. For this reason, in the application of judicial big data, people need to apply automated text mining technology to process unstructured data and predict the specific value of information. This article summarizes the research design and technical background content based on previous work experience. The author discusses the analysis of specific research results from three aspects: pre-processing of research data, establishment of sentencing prediction models, model testing and evaluation.
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