Prediction method and system of litigation outcome

Abstract

The invention provides a prediction method and system of a litigation outcome. The method comprises the following steps: establishing a knowledge inference library of a predetermined subject, wherein the knowledge inference library is used for storing inference rules, and a plurality of inference steps of the inference rules; constructing a prediction model based on the knowledge inference library of the predetermined subject, wherein a neural network block of each prediction model is corresponding to one inference step, the inference data needed by each inference step is corresponding to one data type, and each data type is corresponding to an input type of the neural network block; processing a judgment document corresponding to the predetermined subject to obtain a training sample data set, training and modifying the prediction model; acquiring to-be-detected data, extracting a data pair with attribute and attribute value based on the predefined feature word library to form a to-be-detected data feature information set; judging a suitable subject of the to-be-detected data based on the to-be-detected data feature information set, and inputting into the prediction model to predict. The method and system provided by the invention can guide the people to predict the outcome of a law case and are strong in practicability.

Description

technical field [0001] The invention relates to the technical field of forecasting based on neural networks, in particular to a method and system for forecasting litigation results. Background technique [0002] With the rapid increase of new national laws and the rapid dissemination of legal information, people's legal awareness has generally been improved, and legal needs have also continued to expand with the improvement of the quality of life. However, the professionalism of law and the shallow common sense of users have always plagued ordinary people's learning and use of law, and the asymmetry of information in the legal industry, the confusion of information sources, and the characteristics of dealing with legal issues according to legal provisions have also greatly increased. Difficulties for ordinary people to use legal weapons to defend their rights, for example, due to the lack of awareness of the validity period of the lawsuit, some legal needs have passed the va...

AI Technical Summary

Problems solved by technology

However, the professionalism of law and the shallow common sense of users have always plagued ordinary people's learning and use of law, and the asymmetry of information in the legal industry, the confusion of information sources, and the characteristics of dealing with legal issues according to legal provisions have also greatly increased. Difficulties for ...

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