The present invention provides a News / Media Analytics System (NMAS) adapted to automatically process and “read” news stories and content from blogs, twitter, and other social media sources, represented by news / media corpus, in as close to real-time as possible. Quantitative analysis, techniques or mathematics, such as green scoring / composite module and sentiment processing module are processed to arrive at green scores, green certification, and / or model the value of financial securities, including generating a green score, green compliance certification, and a composite environmental or green index. The NMAS automatically processes news stories, filings, new / social media and other content and applies one or more models against the content to determine green scoring and / or anticipate behavior of stock price and other investment vehicles. The NMAS leverages traditional and, especially, social media resources to provide a sentiment-based solution for scoring the “greenness” of companies.