An Empirical Study of Factors Affecting Language-Independent Models
Table 1: Accuracy results of Sentiment Analysis on English and Spanish across various models.
['Language', 'CNN', 'ULMFiT', 'LIM-H']
We get a significant boost in performance of 7.4% than CNN, and 3.2% than ULMFiT in English. As for Spanish, we outperform the previous methods by 4.5% and 2.3% respectively.