Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks
Table 5: Sentiment Polarity Classification
['Model', 'Acc', 'F1-W']
In order keep the results comparable, we use only the positive and negative samples. The fact that this corpus has several emoticons and out-of-vocabulary expressions makes it hard for the models that were not trained using a similar vocabulary.