A Prototype System for Monitoring Emotion and Sentiment Trends Towards Nuclear Energy on Twitter Using Deep Learning

Snehameena Arumugam, Likai Peng, Jin-Cheon Na, Guangze Lin, Roopika Ganesh, Xiaoyin Li, Qing Chen, Shirley S. Ho, Erik Cambria. A Prototype System for Monitoring Emotion and Sentiment Trends Towards Nuclear Energy on Twitter Using Deep Learning. In Hao-Ren Ke, Chei Sian Lee, Kazunari Sugiyama, editors, Towards Open and Trustworthy Digital Societies - 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1-3, 2021, Proceedings. Volume 13133 of Lecture Notes in Computer Science, pages 471-479, Springer, 2021. [doi]

@inproceedings{ArumugamPNLGLCH21,
  title = {A Prototype System for Monitoring Emotion and Sentiment Trends Towards Nuclear Energy on Twitter Using Deep Learning},
  author = {Snehameena Arumugam and Likai Peng and Jin-Cheon Na and Guangze Lin and Roopika Ganesh and Xiaoyin Li and Qing Chen and Shirley S. Ho and Erik Cambria},
  year = {2021},
  doi = {10.1007/978-3-030-91669-5_36},
  url = {https://doi.org/10.1007/978-3-030-91669-5_36},
  researchr = {https://researchr.org/publication/ArumugamPNLGLCH21},
  cites = {0},
  citedby = {0},
  pages = {471-479},
  booktitle = {Towards Open and Trustworthy Digital Societies - 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1-3, 2021, Proceedings},
  editor = {Hao-Ren Ke and Chei Sian Lee and Kazunari Sugiyama},
  volume = {13133},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-91669-5},
}