[no description] https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc-pkgsrc-2019Q4 2014-10-29T17:06:40Z 2014-10-29T17:06:40Z cheusov cheusov@pkgsrc.org 2014-10-29T17:06:40Z urn:sha1:2ecf8ca2090297aa34ddb3aacbc219670d9efc11 analysis. It can handle the classification of, for example, titles, questions, sentences, and short messages. Main features of LibShortText include * It is more efficient than general text-mining packages. On a typical computer, processing and training 10 million short texts takes only around half an hour. * The fast training and testing is built upon the linear classifier * LIBLINEAR * Default options often work well without tedious tuning. * An interactive tool for error analysis is included. Based on the property that each short text contains few words, LibShortText provides details in predicting each text.