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math/libshorttext,
Library for short-text classification and analysis
Branch: CURRENT,
Version: 1.1nb4,
Package name: libshorttext-1.1nb4,
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:[
math/libsvm] [
math/liblinear] [
lang/python37]
Required to build:[
pkgtools/cwrappers]
Master sites:
Filesize: 798.608 KB
Version history: (Expand)
- (2023-08-14) Updated to version: libshorttext-1.1nb4
- (2022-06-30) Updated to version: libshorttext-1.1nb3
- (2020-12-05) Updated to version: libshorttext-1.1nb2
- (2019-04-25) Updated to version: libshorttext-1.1nb1
- (2014-10-30) Package added to pkgsrc.se, version libshorttext-1.1 (created)
CVS history: (Expand)