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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2018.jeptalnrecital-deft.3.pdf