 |
Conference papers
Automatic analysis of online conversations as processes
Abstract : The tremendous use of social media has changed the way society communicates and interacts nowadays, leading to a plethora of online conversations (Perrin et al., 2017). The increasing availability of these conversations as behavioral traces has enabled automatic approaches for behavior discovery and analysis. These approaches, grounded in machine learning, data mining and language processing have become effective predictive components and intelligent descriptive tools for many domains.
https://hal-paris1.archives-ouvertes.fr/hal-01500497
Contributor : Elena Epure <>
Submitted on : Monday, April 10, 2017 - 2:13:06 PM
Last modification on : Sunday, January 19, 2020 - 6:38:32 PM
Long-term archiving on: : Tuesday, July 11, 2017 - 12:10:52 PM
Contributor : Elena Epure <>
Submitted on : Monday, April 10, 2017 - 2:13:06 PM
Last modification on : Sunday, January 19, 2020 - 6:38:32 PM
Long-term archiving on: : Tuesday, July 11, 2017 - 12:10:52 PM
File
aapjourneesdonneestextuelles.p...
Files produced by the author(s)