Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model

Social sensors perceive the real world through social media and online web services, which have the advantages of low cost and large coverage over traditional physical sensors. In intelligent transportation researches, sensing and analyzing such social signals provide a new path to monitor, control...

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Detalles Bibliográficos
Autores principales: Lu, Hao, Shi, Kaize, Zhu, Yifan, Lv, Yisheng, Niu, Zhendong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308468/
https://www.ncbi.nlm.nih.gov/pubmed/30467276
http://dx.doi.org/10.3390/s18124093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308468/
https://www.ncbi.nlm.nih.gov/pubmed/30467276
http://dx.doi.org/10.3390/s18124093

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