IRIT at TRAC 2018

Faneva Ramiandrisoa, Josiane Mothe


Abstract
This paper describes the participation of the IRIT team to the TRAC 2018 shared task on Aggression Identification and more precisely to the shared task in English language. The three following methods have been used: a) a combination of machine learning techniques that relies on a set of features and document/text vectorization, b) Convolutional Neural Network (CNN) and c) a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). Best results were obtained when using the method (a) on the English test data from Facebook which ranked our method sixteenth out of thirty teams, and the method (c) on the English test data from other social media, where we obtained the fifteenth rank out of thirty.
Anthology ID:
W18-4403
Volume:
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018)
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venues:
COLING | TRAC | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
19–27
Language:
URL:
https://aclanthology.org/W18-4403
DOI:
Bibkey:
Cite (ACL):
Faneva Ramiandrisoa and Josiane Mothe. 2018. IRIT at TRAC 2018. In Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018), pages 19–27, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
IRIT at TRAC 2018 (Ramiandrisoa & Mothe, 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-4403.pdf