Natural Language Processing: Find obscenities in English?

Question

Given a set of words tagged for part of speech, I want to find those that are obscenities in mainstream English. How might I do this? Should I just make a huge list, and check f

Answer 1

At Melissa Data, when my manager , the director of Massachusetts Research and Development and I refactored a Data Profiler targeted at Relational Databases , we counted profanities by the number of Levinshtein Distance matches where the number of insertions, deletions and substitutions is tunable by the user so as to allow for spelling mistakes, Germanic equivalents of English language, plurals, as well as whitespace and non-whitespace punctuation. We speeded up the running time of the Levinshtein Distance calculation by looking only in the diagonal bands of the n by n matrix.