While the impact of rising food prices may be clear, the root causes of such price increases often are not. The role of various short- and long-term factors, such as the growth of commodities futures markets and changing levels of grain stocks, continues to be debated. This tool generates up-to-date media daily analysis of factors that may influence commodity price volatility and food security.
The IFPRI Food Price Media Analysis System was developed in collaboration with GATE group from the University of Sheffield to analyze media coverage of food security, food prices, and hunger.
How the tool works
The Food Security Media Analysis System employs advanced linguistic and semantic object network-mapping algorithms to analyze the relationships between key terms found in media articles that may impact commodity price volatility. The system provides an intuitive interface designed to help users easily identify sentences that mention price movements (up or down) for each commodity. Daily, global food- and commodity-related news articles are loaded into the Food Security Media Analysis System. The system then updates the news article database and mines the complete corpus to generate up-to-date daily media analysis of factors that may influence commodity price volatility and food security. This analysis is performed using the General Architecture for Text Engineering (GATE), a powerful suite of tools for natural language processing and text mining.