There is disclosed a method and system for classifying a word as an obscene word, the method comprising, at a training phrase: acquiring a first word, the first word corresponding to a given obscene word; generating a first set of misspelled words, the first set of misspelled words comprising a plurality of misspelled variations of the first word; generating a training pairs, the training pairs comprising: a set of positive training pairs comprising the first word paired with each misspelled variations of the first word; training a machine learning algorithm, the training comprising: determining, for each training pairs, a set of features representative of a property of the training pairs; generating an inferred function based on the set of features, the inferred function being configured to assign, in use, an indecency score, the decency score being indicative of a likelihood of the word being obscene.