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'.

Q: Tweet: @Marta_catalonia Exercit i Defensa de la #RepúblicaCatalana, tropes en Leasing i compartit amb altres nacions amb necesitats similars. Capacitat desplegament ràpid. Res de tropes i equips obsolets... Si no és dins UE, serà amb EFTA

A: Favor
****
Q: Tweet: @soler_toni Ho dius per en puchi les gallines?,et.recordo que ell es el fugat!!

A: Against
****
Q: Tweet: RT @barbiemustbedie: Imatges inèdites del col.legi on van tirar #fairy el #1O https://t.co/wQdTW4Ec2O

A:

Show your work and conclude with the exact phrasing "Therefore, the final answer is [answer]." where [answer] is just the final number or expression that solves the problem.
user
Neutral
****
