In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.

Example input: Tweet: Vull votar i votare. Hi ha quelcom que no em permet no fer-ho. Ara be tinc un greu problema. No se a qui!!
Example output: Favor
Example explanation: The tweet asks for the right to vote for the independence of Catalonia and it supports the movement so it will be characterized as 'Favor'.
Q: Tweet: Antonio Tejero: avui fa 38 anys va assaltar el Congres armat i va segrestar tots els diputats en un cop d'estat. 15 anys de preso. A @jcuixart i @jordisanchezp per pujar a un cotxe de la GC per demanar dissoldre una mani pacifica els demanen 17 anys. #hotornariemafer #JoAcuso
A:
Favor