风险归因分析

基于企业多维度外部数据，以海量的非结构化数据为原料，从业务深度和数据广度双层入手，以NLP算法作为文本信息提取工具，利用大数据和分布式机器学习为模型引擎构建算法模型，辅助刻画企业画像。归因分析从财务、司法诉讼、经营风险、舆情新闻、股债行情以及关联企业穿透等6个维度进行企业风险分析，并展示相关详情数据。

Built on multi-dimensional external enterprise data and taking massive unstructured data as its raw material, this dataset is developed from both the depth of business scenarios and the breadth of data coverage. It constructs algorithmic models with NLP algorithms serving as text information extraction tools, and big data and distributed machine learning as the model engine, to aid in the portrayal of enterprise profiles. The attribution analysis performs enterprise risk assessment across six dimensions: finance, judicial litigation, operational risks, public opinion news, stock and bond market trends, and associated enterprise penetration, and presents relevant detailed data.

搜集汇总

背景与挑战

背景概述

该数据集专注于企业风险归因分析，利用多维度外部非结构化数据，通过NLP算法和机器学习模型构建企业画像。分析涵盖财务、司法诉讼、经营风险、舆情新闻、股债行情及关联企业穿透等6个维度，旨在全面评估和展示企业风险详情。