摘要 |
<p>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.</p> |
申请人 |
THOMSON REUTERS GLOBAL RESOURCES |
发明人 |
ANDREWS, SARAH, L.;DAM, PEENAKI;FRENNET, DAMIEN;CHAUDHURI, SUMMIT;RODRIGUEZ, RICARDO;GANAPAM, ASHOK;SCHILDER, FRANK;LEIDNER, JOCHEN, LOTHAR |