How S&P Global is making markets more transparent with NLP, spaCy and ProdigyA case study on S&P Global’s efficient information extraction pipelines for real-time commodities trading insights in a high-security environment.
The triangulation of ethical leader signals using qualitative, experimental, and data science methodsBanks, Ross, Toth, Tonidandel, Goloujeh, Dou, Wesslen (2022)This additional text was labeled by the same coding team using Prodigy, [...] a flexible user interface tool built on top of spaCy, a leading open source library in python for natural language processing. We created a spaCy end‐to‐end project workflow including package versioning, data pre‐processing, data ingestion into a database, annotation sessions using Prodigy’s user interface, model training, model evaluation, python packaging, and visual app for testing the model.
MP Interests Tracker: Utilising GenAI to uncover insights in the UK Register of Financial InterestJournalismAI BlogProject from teams at The Times and BBC using spacy-llm to make complex financial interests data more accessible.
How We Found Pricey Provisions in New Jersey Police ContractsProPublicaProPublica and the Asbury Park Press scoured hundreds of police union agreements for details on publicly funded payouts to cops, using spaCy under the hood.
Fiscal data in text: Information extraction from audit reports using Natural Language ProcessingBeltran (2023), Data & Policy, Cambridge University PressI relied on the text annotation software Prodigy in Python that offers a friendly user interface where the reviewer can read the text and assign a label to each paragraph.
Deploying a Prodigy cloud service for Posh’s financial chatbotsA Prodigy case study of Posh AI's production-ready annotation platform and custom chatbot annotation tasks for banking customers.
