This model is a fine-tuned version of
finiteautomata/beto-sentiment-analysis on a dataset of 1500 tweets from Peruvian accounts. It achieves the following results on the evaluation set:
This model in a fine-tuned version of
finiteautomata/beto-sentiment-analysis using five labels:
pro_russia,
against_ukraine,
neutral,
against_russia,
pro_ukraine.
This model shall be used to classify text (more specifically, Spanish tweets) as expressing a position concerning the Russo-Ukrainian war.
We used an 80/20 training/test split on the aforementioned dataset.
