- Tweet Sentiment Tool
Solution · 1 December 2021
The QFCRA is developing a tweet sentiment tool which detects tweets both directly relevant to supervised firms or those that reflect their operating environment (eg developments in the hydrocarbon…
- Philip R Lane: The role of financial regulation in protecting consumers
Speech · 23 February 2017
In this analytical and policy-oriented address, Governor Philip R. Lane delineates the Central Bank of Ireland’s multidimensional strategy for consumer protection, grounded in the theoretical…
- IFC workshop on "Data science in central banking" - Part 2: Data Science in Central Banking: Applications and tools
Video, Event, Presentation · 13 February 2022
The Irving Fisher Committee on Central Bank Statistics (IFC) hosted a virtual workshop on “Data Science in Central Banking: Applications and tools” from 14–17 February 2022, organised by the Bank for…
- Financial Consumer Protection Suite with Web Scraping and Machine Learning-Based Analysis
Case study · 26 April 2025
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…
- Intelligence Platform for Flagging Fraudulent Fintech Apps
Case study · 28 April 2025
This case study outlines the development of an intelligent platform designed to identify fraudulent fintech applications in India under collaboration with the Reserve Bank of India and the Reserve…
- Natural language processing solution developed by the European Central Bank (ECB), DELPHI.
Report, News · 22 November 2023
Intelligent Search solution, Delphi, is a suptech tool based on textual analysis that generates insights from news articles and relates them with quantitative information on investor sentiment from…
- Sentiment Analysis with Twint & Textblob (POC)
Open Code
This code enables the extraction of Tweets from Twitter profiles without the need for Twitter's API for sentiment analysis using NLP. Twint leverages Twitter's search operators to scrape Tweets based…
- Sentiment Analysis with Twint & Textblob (POC)
This code enables the extraction of Tweets from Twitter profiles without the need for Twitter's API for sentiment analysis using NLP. Twint leverages Twitter's search operators to scrape Tweets based…
- Financial Consumer Protection Suite with Web Scraping and Machine Learning-Based Analysis
Case study · 2 September 2024
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…
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