Teacher: 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'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
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
Reason: 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'.

Now, solve this instance: Tweet: Parlem clar , pel que esta treballant durament ERC es per aconseguir que no hi hagin majories absolutes independentistes ni als grans ajuntaments ni despres a la Generalitat i aixi poder justificar pactes amb Comuns i PSOE . Qui no ho veu es perque no vol
Student:
Favor