Financial Consumer Protection Suite with Web Scraping and Machine Learning-Based Analysis

Case study

Financial Consumer Protection Suite with Web Scraping and Machine Learning-Based Analysis

This case study outlines the development of a functional prototype featuring a financial consumer protection suite with social media and web scraping, sentiment analysis, topic modelling, and other machine learning-based analytics. The Lab developed the solution in collaboration with BSP, the Securities and Exchange Commission of the Philippines, and suptech vendor, Winnow Technologies.

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