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: 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!!
Example solution: Favor
Example 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: Mes enlla dels discursos de suport a #Campeones, dels responsables politics se n'espera decisions com mes recursos per tenir una escola inclusiva, garantir que les empreses grans contracten persones amb altres #capacitats o mesures per fer viables del #CET com reclama @_dincat
Solution: Against