
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.
- Use cases, geography and tags
- Organizations that created, adopted or are mentioned
- Ecosystem position
- Link to the original asset
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