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} }