Detailed Instructions: 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'.
See one example below:
Problem: 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!!
Solution: Favor
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'.

Problem: Tweet: @andreucanals @cpallecl Benvolgut, no se com explicar-te que els MOSSARABS van ser els cristians que van viure entre el 711 i el 1492 sota dominacio musulmana. Ja eren cristians. Els MORISCOS, son els musulmans que viuen sota domini cristia, per tant el terme contrari a Mossarab. Fas un poti poti....
Solution:
Against