Legal provision recommendation method based on LDA (Latent Dirichlet Allocation) topic model

Abstract

The invention discloses a legal provision recommendation method based on a LDA (Latent Dirichlet Allocation) topic model. The method comprises the following steps that: extracting a judgment documentset to construct training linguistic data; preprocessing the judgment document; preprocessing a case situation; training the LDA topic model to extract the judgment document set which is similar to the case situation; extracting a recommended legal provision set, designing a legal provision association degree scoring mechanism to calculate an association degree between the legal provision and thecase, and combining with a frequent item set to mine the associated legal provision; and outputting a recommended legal provision list. The step of preprocessing the judgment document comprises the following steps that: extracting the basic situation paragraph and the quoted legal provision list of the case, carrying out Chinese word segmentation on the basic situation of the case, removing legally proprietary stop words, and carrying out legal provision name standardization. By use of the method, a real scene that a judge always looks up similar judgment documents to decide legal provision quotation in a practical judgment process is simulated, the similarity of the judgment document is measured from a semantic level, the similar judgment document can be accurately obtained, associated legal provision recommendation is carried out, and legal provision recommendation accuracy is improved.

Description

technical field [0001] The invention relates to a method for recommending legal articles, in particular to a method for recommending legal articles based on an LDA topic model, and belongs to the technical field of big data mining. Background technique [0002] In recent years, the Supreme People's Court has vigorously promoted the informatization construction of the people's courts based on the strategic deployment of comprehensive law-based governance and the concept of "big data, big structure, and big services". Judgment documents, as the carrier of records of legal trial activities, fully reflect the objective process of the parties' claims, proof and cross-examination, and comprehensively expound the legal basis, factual evidence and reasoning process for the formation of the judgment results. Judgment documents are an important type of judicial data. As of May 2018, more than 45 million judgment documents have been collected and published on China Judgment Documents N...

AI Technical Summary

Problems solved by technology

Due to the variety of statutory laws, the same issue may appear in different legal norms, so judges need

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