TopicInk: Visualizing Disaster-Related Textual Data Using LDA Topic Modeling: Vast Challenge 2019: Honorable Mention for Clear Articulation of Methodology

Chen Guo, Xiang Liu, Evie Cai, Yingjie Victor Chen, Zhenyu Cheryl Qian, Rui Li. TopicInk: Visualizing Disaster-Related Textual Data Using LDA Topic Modeling: Vast Challenge 2019: Honorable Mention for Clear Articulation of Methodology. In Remco Chang, Daniel A. Keim, Ross Maciejewski, editors, 2019 IEEE Conference on Visual Analytics Science and Technology, VAST 2019, Vancouver, BC, Canada, October 20-25, 2019. pages 124-125, IEEE, 2019. [doi]

@inproceedings{GuoLCCQL19,
  title = {TopicInk: Visualizing Disaster-Related Textual Data Using LDA Topic Modeling: Vast Challenge 2019: Honorable Mention for Clear Articulation of Methodology},
  author = {Chen Guo and Xiang Liu and Evie Cai and Yingjie Victor Chen and Zhenyu Cheryl Qian and Rui Li},
  year = {2019},
  doi = {10.1109/VAST47406.2019.8986949},
  url = {https://doi.org/10.1109/VAST47406.2019.8986949},
  researchr = {https://researchr.org/publication/GuoLCCQL19},
  cites = {0},
  citedby = {0},
  pages = {124-125},
  booktitle = {2019 IEEE Conference on Visual Analytics Science and Technology, VAST 2019, Vancouver, BC, Canada, October 20-25, 2019},
  editor = {Remco Chang and Daniel A. Keim and Ross Maciejewski},
  publisher = {IEEE},
  isbn = {978-1-7281-2284-7},
}