by a simple Naive Bayes classifier trained on word and character n-gram data (Lui and Baldwin, 2012): a document of significant length will be quickly disambiguated based on its vocabulary (King et al., 2014).
social media platforms like Twitter produce data sets in which individual documents are extremely short, and language use is idiosyncratic: LID performance on such data is dramatically lower than on traditional corpora (Bergsma et al., 2012;Carter et al., 2013).