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pro vyhledávání: '"Neethinayagam, Manimozhi"'
This paper introduces the Consumer Feedback Insight & Prediction Platform, a system leveraging machine learning to analyze the extensive Consumer Financial Protection Bureau (CFPB) Complaint Database, a publicly available resource exceeding 4.9 GB in
Externí odkaz:
http://arxiv.org/abs/2407.06399
Autor:
Vaishnav, Dhwani, Neethinayagam, Manimozhi, Khaire, Akanksha S, Dhoke, Mansi Vivekanand, Woo, Jongwook
Consumer complaints are a crucial source of information for companies, policymakers, and consumers alike. They provide insight into the problems faced by consumers and help identify areas for improvement in products, services, and regulatory framewor
Externí odkaz:
http://arxiv.org/abs/2310.06076