instruction:
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'.
question:
Tweet: RT @MarioDalmau: @JoanTarda @Esquerra_ERC  Autodeterminació! , crida, el molt descafeïnat. I  república , quina? 😂
answer:
Favor


question:
Tweet: Massa temps fa que no sentia parlar a en Junqueras...quin gran nivell, quina dignitat...quina diferència amb la majoria de polítics Españols...no tots, evident, però crec que sí podem generalitzar
answer:
Against


question:
Tweet: @CatalunyaFreeTV Sou el típic exemple de catalanet ingenu. El torrent té l'oportunitat d'investir Puigdemont i no ho fa. Tot són paraules. @PouBoada
answer:

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
Favor


