General purpose language identification tools such as TextCat (Cavnar and Trenkle, 1994) and langid.py (Lui and Baldwin, 2012) can identify 50-100 languages with accuracy of 86-99%.
by introducing additional texts of linked users, the accuracy of the proposed model improved by 1.67-5.56, except for Portuguese.