Journal of Food Processing & Technology

Spatiotemporal twitter analysis of the Venezuelan food crisis

2^nd International Conference on Food Security and Sustainability

June 26-27, 2017 San Diego, USA

Laura H Kahn

Indiana University, USA

Scientific Tracks Abstracts: J Food Process Technol

Abstract:

Social media from countries with limits to free speech is often the most reliable source of event occurrence and is a reliable alternative form of journalism. Spatiotemporal analysis of location-based social media data allows new ways to describe events. Almost 37,000 Spanish geo-tagged Tweets from the city of Caracas, Venezuela were used to observe reactions to the food shortage crisis within each of the city�??s five municipalities. The number of Tweets over time is explored. The hypotheses of whether certain Tweets are particular to a municipality location that is tested using multinomial naive Bayes, logistic regression and k-nearest neighbor machine learning classifiers.

Biography :

Laura H Kahn is currently pursuing her Masters in Data Science from Indiana University with a passion for using data to reduce hunger and poverty using technology. She has volunteered with various local hunger alleviations non-profit groups.

Email: lkahn@indiana.edu