CMBS loans and properties are exposed to companies, such as REITs, retail and office tenants, and hotels. Companies may file for bankruptcy, merge or dispose assets that can affect the cashflows expected by CMBS bondholders. Lack of normalized company names prevent us from linking to NAME_1 entity identifiers and do better aggregation and company exposure analysis.

In addition to known Top Tenant data, I want to build a machine learning model to sift through commentaries and highlight company names in the commentary, highlight material changes in CMBS deals and make recommendations to portfolio managers