Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space
Table 3: The transfer of trained models between languages from different language groups using the common vector space representation (left-hand side), and comparison with both training and testing set from the target language (on the right-hand side).
['Source', 'Target', 'Transfer ¯¯¯¯¯¯ [ITALIC] F1', 'Transfer CA', 'Both target ¯¯¯¯¯¯ [ITALIC] F1', 'Both target CA']
This gap is significant and makes the resulting transferred models less useful in the target languages. Another observation is that the differences between target languages are significant. It seems that the transfer to Slovak is much less successful than to Russian, while English is in between the two.