arXiv · 1706.05090
Transportation in Social Media: an automatic classifier for travel-related tweets
Abstract
In the last years researchers in the field of intelligent transportation systems have made several efforts to extract valuable information from social media streams. However, collecting domain-specific data from any social media is a challenging task demanding appropriate and robust classification methods. In this work we focus on exploring geo-located tweets in order to create a travel-related tweet classifier using a combination of bag-of-words and word embeddings. The resulting classification makes possible the identification of interesting spatio-temporal relations in S\~ao Paulo and Rio de Janeiro.
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João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti. 2017-06-15. Transportation in Social Media: an automatic classifier for travel-related tweets. https://arxiv.org/abs/1706.05090
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