Process the fortune 1000 domains to identify live typo-sites. Save results into a database for later processing and analysis.
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Updated
Nov 27, 2016 - Python
Process the fortune 1000 domains to identify live typo-sites. Save results into a database for later processing and analysis.
Corporate response to the 2020 #BlackLivesMatter protests on Twitter
A Python-based analysis quantifying the performance of Indian-origin CEOs in the Fortune 500. This project uses the yfinance library to compare company stock CAGR against the S&P 500 benchmark during each CEO's tenure, testing the hypothesis of market outperformance.
NLP-powered semantic analysis system for quantifying AI adoption in Fortune 500 annual reports (2020–2025). This branch provides the academic English implementation.
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