Charla de Tesis II Magíster en Ciencias mención Computación/ Alumno: Hernán Sarmiento

Título Tesis: "Detecting Emergency Situations Based on Locations in Twitter".

Social media has played a critical role in the last fifteen years to
detect, summarize and classify messages during emergency situations.

Most of the methods that use Twitter for detecting emergency situations
rely on keywords. The problem with keyword-based methods is the need to
train models in specific domains, in multiple languages, and for different
types of events, for example: earthquakes, terrorist attacks, etc. In
contrast, our proposal uses the recurring references of a location in the
metadata of microblogging messages in order to identify such events
without using keywords and characterize them through probability
distributions of the interarrival time of the messages.

Sala Grace Hopper
Universidad de Chile

Beauchef 851, edificio poniente, 3er piso

Fecha del evento
19 de Enero de 2018
15:00 - 16:00