Measuring Controversy in Social Networks Through NLP.
Juan Manuel Ortiz de Zarate|Marco Di Giovanni|Esteban Zindel Feuerstein|Marco Brambilla
| Anthology ID: | DBLP:conf/spire/ZarateGF020 |
|---|---|
| Volume: | String Processing and Information Retrieval - 27th International Symposium, SPIRE 2020, Orlando, FL, USA, October 13-15, 2020, Proceedings |
| Year: | 2020 |
| Venue: | Symposium on String Processing and Information Retrieval (SPIRE) |
| Publisher: | Springer |
| Pages: | 194-209 |
| URL: | https://doi.org/10.1007/978-3-030-59212-7_14 |
| DOI: | https://doi.org/10.1007/978-3-030-59212-7_14 |
| DBLP: | conf/spire/ZarateGF020 |
| BibTeX: |
@inproceedings{zarate-2020-measuring,
author = {Juan Manuel Ortiz de Zarate and
Marco Di Giovanni and
Esteban Zindel Feuerstein and
Marco Brambilla},
editor = {Christina Boucher and
Sharma V. Thankachan},
title = {{Measuring Controversy in Social Networks Through NLP}},
booktitle = {{String Processing and Information Retrieval - 27th International Symposium, SPIRE 2020, Orlando, FL, USA, October 13-15, 2020, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {12303},
pages = {194--209},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-59212-7_14},
doi = {https://doi.org/10.1007/978-3-030-59212-7_14}
}