Machine Learning Model to Predict Food Insecurity through News Coverage (IMAGE)

New York University

Machine Learning Model to Predict Food Insecurity through News Coverage

Caption

Each of the illustration’s boxes contain an example of a sentence in which the model detected a relevant keyword (highlighted in color). The 167 text features predictive of food insecurity episodes are grouped into 12 categories of risk factors indicated in the legend and mapped into a network. A node’s size is proportional to the text feature’s frequency in news articles, and an edge’s width encodes the semantic proximity between nodes.

Credit

Samuel Fraiberger and Alice Grishchenko

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