GENERAL SENTIMENT INC.
The Phase I Small Business Innovation Research project investigated a news/blog analysis system to support the commercialization of a product for market research and trends analysis. By performing natural language / statistical analysis on roughly 2,000 U.S. and international news sources retrieved on a daily basis, the tool can monitor spatial and temporal trends in the presence, reputation, and linkage among news entities such people, places, and companies/organizations. This project focused on computational research issues associated with improving the performance and versatility of the proposed algorithms for sentiment detection (positive and negative associations) and social network analysis. The effort also undertook the critical task of transferring the technology from an academic computing environment to a modern cloud computing infrastructure yielding increased reliability and the potential to scale the news analysis to vastly larger-scale text corpuses.
This project was successful, and the news analysis databases created under this proposal has been widely used in a broad range of trends analysis research and applications. It currently helps business researchers and marketers to make wiser decisions by empowering them to conduct primary studies on historical trends and social forces. The market opportunity addressed represents significant commercial potential across a wide range of vertical segments.
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).