Classification of Traffic Events Notified in Social Networks' Texts

Author:

Saldana-Perez Ana Maria Magdalena1,Moreno-Ibarra Marco Antonio2,Torres-Ruiz Miguel Jesus2

Affiliation:

1. Instituto Politecnico Nacional, Mexico

2. Instituto Politécnico Nacional, Mexico

Abstract

It is interesting to exploit the user-generated content (UGC) and to use it with a view to infer new data; volunteered geographic information (VGI) is a concept derived from UGC, whose main importance lies in its continuously updated data. The present approach tries to explode the use of VGI by collecting data from a social network and a RSS service; the short texts collected from the social network are written in Spanish language; text mining and a recovery information processes are applied over the data in order to remove special characters on text and to extract relevant information about the traffic events on the study area; then data are geocoded. The texts are classified by using a machine learning algorithm into five classes, each of them represents a specific traffic event or situation.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Precision in IR Considering Dynamic Environments;Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services;2019-12-02

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