pkgsrc/math/libshorttext/distinfo

$NetBSD: distinfo,v 1.1.1.1 2014/10/29 17:06:40 cheusov Exp $

SHA1 (libshorttext-1.1.tar.gz) = 2d9705195682fa1f25de30bd66711685f974a8c0
RMD160 (libshorttext-1.1.tar.gz) = 569d2f2a64f8fc311766b08cbef7086e1340ce55
Size (libshorttext-1.1.tar.gz) = 817775 bytes
SHA1 (patch-text-train.py) = 6b99bdfcfd69a9d7e83cafc852202dc23485dfeb
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. 2014-10-29 18:06:40 +01:00			$NetBSD: distinfo,v 1.1.1.1 2014/10/29 17:06:40 cheusov Exp $

			`SHA1 (libshorttext-1.1.tar.gz) = 2d9705195682fa1f25de30bd66711685f974a8c0`
			`RMD160 (libshorttext-1.1.tar.gz) = 569d2f2a64f8fc311766b08cbef7086e1340ce55`
			`Size (libshorttext-1.1.tar.gz) = 817775 bytes`
			`SHA1 (patch-text-train.py) = 6b99bdfcfd69a9d7e83cafc852202dc23485dfeb`