Tool

COVID-19 Food Price Media Analysis

Outline

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 related to COVID-19.

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 tool uses sophisticated linguistic and semantic object network-mapping algorithms to analyze the relationships between key terms found in media articles that may influence commodity price volatility. The COVID-19 Food Security Media Analysis System provides an intuitive interface designed to help users easily identify co-occurrences between COVID-19-related terms and relevant food security-related terms. Each day, the global food- and commodity-related news articles are loaded into the COVID-19 Food Security Media Analysis System. GATE then updates the news article database and mines the complete corpus to generate up-to-date media daily analysis of factors that may influence commodity price volatility and food security related to COVID-19.

Partner

General Architecture for Text Engineering (GATE)

General Architecture for Text Engineering (GATE) by The University of Sheffield is a Natural Language Processing tool using machine learning algorithms and is used worldwide by a wide community of scientists, companies, teachers and students for text mining tasks, including information extraction in many languages.