CLaC @ DEFT 2018: Sentiment analysis of tweets on transport from Île-de-France

Simon Jacques, Farhood Farahnak, Leila Kosseim


Abstract
CLaC @ DEFT 2018: Analysis of tweets on transport on the Île-de-France This paper describes the system deployed by the CLaC lab at Concordia University in Montreal for the DEFT 2018 shared task. The competition consisted in four different tasks; however, due to lack of time, we only participated in the first two. We participated with a system based on conventional supervised learning methods: a support vector machine classifier and an artificial neural network. For task 1, our best approach achieved an F-measure of 87.61%; while at task 2, we achieve 51.03%, situating our system below the average of the other participants.
Anthology ID:
2018.jeptalnrecital-deft.3
Volume:
Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT
Month:
5
Year:
2018
Address:
Rennes, France
Editors:
Pascale Sébillot, Vincent Claveau
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
ATALA
Note:
Pages:
239–248
Language:
URL:
https://aclanthology.org/2018.jeptalnrecital-deft.3
DOI:
Bibkey:
Cite (ACL):
Simon Jacques, Farhood Farahnak, and Leila Kosseim. 2018. CLaC @ DEFT 2018: Sentiment analysis of tweets on transport from Île-de-France. In Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT, pages 239–248, Rennes, France. ATALA.
Cite (Informal):
CLaC @ DEFT 2018: Sentiment analysis of tweets on transport from Île-de-France (Jacques et al., JEP/TALN/RECITAL 2018)
Copy Citation:
PDF:
https://aclanthology.org/2018.jeptalnrecital-deft.3.pdf