LibShortText is an open source tool for short-text classification and 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.
Binary packages can be installed with the high-level tool pkgin (which can be installed with pkg_add) or pkg_add(1) (installed by default). The NetBSD packages collection is also designed to permit easy installation from source.
The pkg_admin audit command locates any installed package which has been mentioned in security advisories as having vulnerabilities.
Please note the vulnerabilities database might not be fully accurate, and not every bug is exploitable with every configuration.
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