Location Extraction to Inform a Spanish-Speaking Community About Traffic Incidents

Abstract

Around the world, cities suffer from a large variety of problems. One of them is urban mobility, and the most common cause is related to traffic incidents, which unexpectedly provoke delays to people and produce losses to businesses. Through natural-language-processing methods, this chapter proposes a way to inform people about events that could have happened on the road. The proposed application takes information from news reports (published by a local newspaper) that have been previously classified as 'traffic incidents'; the app tries to extract the location where these events occurred. These data are then served on a web application, which shows a map that marks all the recent incidents. In this way, the authors offer an alternative to allow citizens to be informed about this kind of event so they can take preventive actions.