Approximations to geolocation of disaster related tweets

• Main Author: ROSALES, JOHN CLIFFORD
• Format: text
• Published: Archīum Ateneo 2017
• Subjects: Twitter; Communication in crisis management; Emergency management > Geographic information systems; Emergency management > Data processing; Geographic information systems; Online social networks
• Online Access: https://archium.ateneo.edu/theses-dissertations/182; http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1265467000&currentIndex=0&view=fullDetailsDetailsTab
• Institution: Ateneo De Manila University

The use of tweets as information aid during disasters has been limited by the lack of location information in majority of the tweets. This study created two algorithms to approximate tweet location based on the text content of the tweets. The first algorithm used machine learning algorithms to predi...