Irony Detection in a Multilingual Context
Table 1: Tweet distribution in all corpora.
['[EMPTY]', '[BOLD] # Ironic', '[BOLD] # Not-Ironic', '[BOLD] Train', '[BOLD] Test']
Also, for French, we use the original dataset without any modification, keeping the same number of records for train and test to better compare with state-of-the-art results. For the classes distribution (ironic vs. non ironic), we do not choose a specific ratio but we use the resulted distribution from the random shuffling process.