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math/libshorttext,
Library for short-text classification and analysis
Branch: pkgsrc-2020Q2,
Version: 1.1nb1,
Package name: libshorttext-1.1nb1,
Maintainer: cheusovLibShortText 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.
Required to run:[
lang/python37] [
math/liblinear]
Master sites:
SHA1: 2d9705195682fa1f25de30bd66711685f974a8c0
RMD160: 569d2f2a64f8fc311766b08cbef7086e1340ce55
Filesize: 798.608 KB
Version history: (Expand)
- (2020-07-01) Package added to pkgsrc.se, version libshorttext-1.1nb1 (created)