How to Install and Uninstall opennlp Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "opennlp" package
This is a short guide on how to install opennlp on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
opennlp
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2. Uninstall "opennlp" package
This guide covers the steps necessary to uninstall opennlp on openSuSE Tumbleweed:
$
sudo zypper remove
opennlp
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3. Information about the opennlp package on openSuSE Tumbleweed
Information for package opennlp:
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Repository : openSUSE-Tumbleweed-Oss
Name : opennlp
Version : 1.5.3-4.4
Arch : noarch
Vendor : openSUSE
Installed Size : 36.5 KiB
Installed : No
Status : not installed
Source package : opennlp-1.5.3-4.4.src
Upstream URL : https://opennlp.apache.org/
Summary : A machine learning based toolkit for the processing of natural language text
Description :
The Apache OpenNLP library is a machine learning based toolkit for the
processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence
segmentation, part-of-speech tagging, named entity extraction, chunking,
parsing, and coreference resolution. These tasks are usually required to
build more advanced text processing services. OpenNLP also includes
maximum entropy and perceptron based machine learning.
--------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : opennlp
Version : 1.5.3-4.4
Arch : noarch
Vendor : openSUSE
Installed Size : 36.5 KiB
Installed : No
Status : not installed
Source package : opennlp-1.5.3-4.4.src
Upstream URL : https://opennlp.apache.org/
Summary : A machine learning based toolkit for the processing of natural language text
Description :
The Apache OpenNLP library is a machine learning based toolkit for the
processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence
segmentation, part-of-speech tagging, named entity extraction, chunking,
parsing, and coreference resolution. These tasks are usually required to
build more advanced text processing services. OpenNLP also includes
maximum entropy and perceptron based machine learning.