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: A l’@Albert_Rivera se li ha girat feina.   A Palo Alto, les beceroles de Silicon Valley a California, també n’hi ha.   #RiveraQuitameEste https://t.co/bMROEqDFnc
Example Output: Against

Example Input: Tweet: Els fills ideològics del coronel Galindo.  Si no fas allò que et diuen t'enterren en calç viva o et torturen a Intxaurrondo https://t.co/xxPe07XVZj
Example Output: Neutral

Example Input: Tweet: RT @Tamborras: L'eurodiputat que va convidar Puigdemont i Torra denuncia intimidacions via @elnacionalcat https://t.co/SviRMqU0o2
Example Output:

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

