KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China

Nengcheng Chen, Yan Zhang 0078, Wenying Du, Yingbing Li, Min Chen 0029, Xiang Zheng. KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China. Computers, Environment and Urban Systems, 88:101629, 2021. [doi]

@article{ChenZDLCZ21,
  title = {KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China},
  author = {Nengcheng Chen and Yan Zhang 0078 and Wenying Du and Yingbing Li and Min Chen 0029 and Xiang Zheng},
  year = {2021},
  doi = {10.1016/j.compenvurbsys.2021.101629},
  url = {https://doi.org/10.1016/j.compenvurbsys.2021.101629},
  researchr = {https://researchr.org/publication/ChenZDLCZ21},
  cites = {0},
  citedby = {0},
  journal = {Computers, Environment and Urban Systems},
  volume = {88},
  pages = {101629},
}