document: Towards practical genre classification of web documents Classification of documents by genre is typically done either using linguistic analysis or term frequency based techniques . The former provides better classification accuracy than the latter but at the cost of two orders of magnitude more computation time . While term frequency analysis requires much less computational resources than linguistic analysis , it returns poor classification accuracy when the genres are not sufficiently distinct . A method that removes or approximates the expensive portions of linguistic analysis is presented . The accuracy and computation time of this method then compared with both linguistic analysis and term frequency analysis . The results in this paper show that this method can significantly reduce the computation of both time of linguistic analysis and term frequency analysis , while retaining an accuracy that is higher than that of term frequency analysis .
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