An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs

Florian Strohm, Roman Klinger. An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs. In Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang 0010, Ciro Cattuto, Rayid Ghani, editors, 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. pages 673-681, IEEE, 2018. [doi]

@inproceedings{StrohmK18,
  title = {An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs},
  author = {Florian Strohm and Roman Klinger},
  year = {2018},
  doi = {10.1109/DSAA.2018.00087},
  url = {https://doi.org/10.1109/DSAA.2018.00087},
  researchr = {https://researchr.org/publication/StrohmK18},
  cites = {0},
  citedby = {0},
  pages = {673-681},
  booktitle = {5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018},
  editor = {Francesco Bonchi and Foster J. Provost and Tina Eliassi-Rad and Wei Wang 0010 and Ciro Cattuto and Rayid Ghani},
  publisher = {IEEE},
  isbn = {978-1-5386-5090-5},
}