Profiling hate speech spreaders on twitter task at PAN 2021
F Rangel, GL Peña-Sarracén… - Proceedings of the …, 2021 - riunet.upv.es
[EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …
[PDF][PDF] Use pre-trained models and multi-classifier voting methods to identify the ironic authors on Twitter.
J Qin, L Kong, Z Huang, J Huang, Y Guo… - CLEF (Working …, 2022 - ceur-ws.org
This paper focuses on the task published on PAN at CLEF 2022 of profiling the author's
tweets to determine whether the author is ironic. This research is aimed identifying those …
tweets to determine whether the author is ironic. This research is aimed identifying those …
The Text Classification Pipeline: Starting Shallow going Deeper
Text Classification (TC) stands as a cornerstone within the realm of Natural Language
Processing (NLP), particularly when viewed through the lens of computer science and …
Processing (NLP), particularly when viewed through the lens of computer science and …
[PDF][PDF] Lexicon-Based Profiling of Irony and Stereotype Spreaders.
H Jang - CLEF (Working Notes), 2022 - pan.webis.de
Abstract The PAN 22 Author Profiling Shared Task (IROSTEREO) aims to profile authors
spreading irony and stereotypes on Twitter. In this paper, we report that from our …
spreading irony and stereotypes on Twitter. In this paper, we report that from our …
[PDF][PDF] User profiling: voting scheme
MF Artigas-Herold, D Castro-Castro - 2022 - ceur-ws.org
Social networks have been playing an important role in the life of human beings for the last
years, they have become a way to express and share information widely. In them, many …
years, they have become a way to express and share information widely. In them, many …