Legal provision prediction method in traffic accident damage compensation

Abstract

The invention relates to a legal provision prediction method in traffic accident damage compensation. The method comprises the steps that data cleaning and feature selection are conducted on fact texts and legal provisions based on feature extraction, features and feature vectors used for model training are constructed, text representation of a TwitterLDA learning law is used, and case features are extracted through word2vec; on the basis, a support vector machine method is applied to construct a prediction model, and a legal provision prediction model svm-Model is generated; and finally, thefeature vector of the fact is input into the svm-Model, and thus finally generating a legal provision involved in the current case. The purpose of the invention is to solve the problem that laws are predicted through facts in current legal intelligence so as to help the public to understand more legal knowledge and clearly understand the situation of a case, provide auxiliary opinions for the industry and avoid differences caused by personal subjectivity, thereby realizing judicial justice and improving social benefits.

Description

technical field [0001] The invention belongs to the field of legal intelligence, and is especially suitable for the research field of judicial cognitive intelligence in legal intelligence. Its purpose is to predict legal clauses for traffic accident cases. Methods of providing secondary advice. Background technique [0002] With the gradual opening of a large amount of judicial data and the rapid development of NLP technology, judicial documents have become an important research object in the field of academic research. At present, there are few studies on legal intelligence, and they mainly focus on legal reasoning and legal adaptability based on machine learning and data mining. A small amount of research is on automatic judgment prediction, relevant law prediction, similar case retrieval, evidence analysis, etc. of. In the existing research on legal intelligence systems, most of them are for some criminal charges, not the whole case, so they cannot be put into use yet. ...

AI Technical Summary

Problems solved by technology

In the existing legal intelligence system research, most of them are for some criminal charges, not the whole case, so they cannot be put into use yet

Although some achievements have been made in automatic sentencing, there is still a lack of progress in the recommendation of similar cases and the prediction of relevant legal provisions, which has great research significance and practical value

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