文章摘要
温书豪,黄学军,周良,赵英.刑事案件上诉原因文本挖掘——基于二审文书数据[J].情报工程,2021,7(1):103-114
刑事案件上诉原因文本挖掘——基于二审文书数据
The Influencing Factors Analysis of Second Criminal Instance Based on Text Mining
  
DOI:10.3772/j.issn.2095-915X.2021.01.009
中文关键词: 刑事二审案件;上诉原因;裁判文书;文本挖掘
英文关键词: Criminal cases of second instance; reasons for appeal; judicial documents; text mining
基金项目:国家重点研发计划“高质高效的审判支撑关键技术及装备研究”(2018YFC0830300)。
作者单位
温书豪 1. 中国共产党钦州市委员会政策研究室 钦州 535000 
黄学军 2. 四川大学计算机学院 成都 610065 
周良 3. 四川大学公共管理学院 成都 610065 
赵英 3. 四川大学公共管理学院 成都 610065 
摘要点击次数: 266
全文下载次数: 180
中文摘要:
      [ 目的/ 意义] 从刑事二审案件裁判文书中挖掘上诉理由和相关影响因素,给法院和智慧量刑系统提供相关数据。[ 方法/ 过程] 以北大法宝网近一年的刑事二审案件裁判文书作为基础数据,用信息抽取、word2vec 训练词向量和聚类等文本挖掘方法对文本内容进行挖掘。[ 结果/ 结论] 在传统的上诉理由之外,发现了基于上诉人自身态度的上诉理由。信息抽取、word2vec 训练词向量和聚类等文本挖掘方法可用于裁判文书相关内容挖掘。
英文摘要:
      [Purpose / significance] This study aims to explore the reasons for appeal and related influencing factors from the judgment documents of criminal cases of second instance, so as to provide relevant data for the court and intelligent sentencing system. [Methods/Process]This study takes the judicial documents of criminal cases in the second instance of Beijing University’s magic treasure website in recent one year as the basic data, and the text content was mined by using text mining methods such as information extraction, word2vec training word vector and clustering. The results show that in addition to the traditional reasons for appeal, the appellant’s own attitude was found. [Results /Conclusions]The results also indicated that the text mining methods such as information extraction, word2vec training word vector and clustering can be used to mine relevant content of judicial documents.
查看全文   查看/发表评论  下载PDF阅读器
关闭

分享按钮