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Erschienen in:
2021 | OriginalPaper | Buchkapitel
4. NLP in Banking, Financial Services, and Insurance (BFSI)
verfasst von : Mathangi Sri
Erschienen in: Practical Natural Language Processing with Python
Verlag: Apress
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Abstract
The banking and financial industries have been making data-driven decisions for more than a century. Since a wrong decision could have heavy cost for a financial institution, they have been one of the early adopters of big data. A lot of machine learning use cases in the banking, financial services, and insurance industries (BFSI) have been using structured data like transactional history or CRM history. However, over the last few years there has been an increasing tendency to use text data to mainstream underwriting and risk or fraud detecting.