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。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。

Based on multi-dimensional external enterprise data, using massive unstructured data as raw materials, and proceeding from both business depth and data breadth, this dataset develops algorithmic models by adopting NLP algorithms as text information extraction tools and taking big data and distributed machine learning as the model engine, to facilitate the construction of enterprise profiles. It conducts enterprise risk analysis across six dimensions including finance, judicial litigation, operational risk, public opinion news, stock and bond market trends, and penetration analysis of related enterprises, and displays relevant detailed data.

搜集汇总

背景与挑战

背景概述

该数据集通过多维度外部数据和非结构化数据分析，结合NLP算法和机器学习模型，从六个关键维度对企业风险进行归因分析，旨在提供全面的企业风险画像。