This repository contains two datasets in Spanish (CIC-ES) and Catalan (CIC-CA) that consistes annotated Twitter messages for automatic stance detection. The data was collected 12 days during February and March of 2019 posted in Barcelona, and during September of 2018 posted in the town of Terrassa, Catalonia.
The corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express stance towards the target - independence of Catalonia. The distribution of the classes in the corpus is the following:
- CIC-CA consists of 10048 examples of annotated tweets: Against- 3988, Favor - 3902, Neutral - 2158.
- CIC-ES consists of 10077 examples of annotated tweets: Against- 4105, Favor - 4104, Neutral - 1868.
Each dataset is splitted into train, validation and test sets in relation 60/20/20.
Elena Zotova, Rodrigo Agerri, Manuel Nuñez and German Rigau (2020). Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus. In LREC 2020.