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 and taking massive unstructured data as raw materials, this dataset starts from both the depth of business scenarios and the breadth of data coverage. It uses NLP algorithms as text information extraction tools, constructs algorithm models with big data and distributed machine learning as the model engine to assist in portraying enterprise profiles. It conducts enterprise risk analysis from six dimensions including finance, judicial litigation, operational risks, public opinion news, stock and bond market trends, and related enterprise penetration, and displays relevant detailed data.

搜集汇总

背景与挑战

背景概述

风险归因分析数据集是一个基于企业多维度外部数据的数据服务，利用NLP算法和大数据技术从财务、司法诉讼等6个维度进行企业风险分析。该数据集覆盖全国工商注册企业，每日更新，主要应用于金融服务领域。