检索结果-南通市图书馆

A Data Mining Approach to Detecting Bias and Favoritism in Public Procurement

Intelligent Automation & Soft Computing 2023年第6期36卷 3501-3516页

作者： Yeferson Torres-Berru Vivian F.Lopez-Batista lorena conde zhingre University of Salamanca Salamanca37008Spain Instituto Tecnológico Superior Sudamericano Loja1101608Ecuador Universidad Internacional del Ecuador Loja1101608Ecuador

In a public procurement process,corruption can occur at each stage,favoring a participant with a previous agreement,which can result in over-pricing and purchases of substandard products,as well as gender discrimination.This paper’s aim is to detect biased purchases using a Spanish Language corpus,ana-lyzing text from the questions and answers registry platform by applicants in a public procurement process in Ecuador.Additionally,gender bias is detected,pro-moting both men and women to participate under the same conditions.In order to detect gender bias and favoritism towards certain providers by contracting enti-ties,the study proposes a unique hybrid model that combines Artificial Intelli-gence algorithms and Natural Language Processing(NLP).In the experimental work,303,076 public procurement processes have been analyzed over 10 years(since 2010)with 1,009,739 questions and answers to suppliers and public insti-tutions in each process.Gender bias and favoritism were analyzed using a Word2-vec model with word embedding,as well as sentiment analysis of the questions and answers using the VADER algorithm.In 32%of cases(96,984 answers),there was favoritism or gender bias as evidenced by responses from contracting entities.The proposed model provides accuracy rates of 88% for detecting favor-itism,and 90%for detecting gender bias.Consequently one-third of the procure-ment processes carried out by the state have indications of corruption and bias.In Latin America,government corruption is one of the most significant challenges,making the resulting classifier useful for detecting bias and favoritism in public procurement processes.

关键词： Favoritism bias natural language processing Word2vec sentiment analysis word embeddings

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：