https://github.com/franfj/summarizer

Text summarization Python library (in progress)
https://github.com/franfj/summarizer

machine-learning nlp nltk python python2 text-mining text-summarization

Last synced: 12 months ago
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Text summarization Python library (in progress)

• Host: GitHub
• URL: https://github.com/franfj/summarizer
• Owner: franfj
• License: gpl-3.0
• Created: 2018-07-17T14:55:29.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-27T15:33:55.000Z (over 3 years ago)
• Last Synced: 2025-03-20T07:17:04.741Z (about 1 year ago)
• Topics: machine-learning, nlp, nltk, python, python2, text-mining, text-summarization
• Language: Python
• Homepage:
• Size: 72.3 KB
• Stars: 9
• Watchers: 2
• Forks: 5
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Text-Summarizer

Text summarization Python library (in progress)

#### Project status

* [![PyPI version](https://badge.fury.io/py/text-summarizer.svg)](https://badge.fury.io/py/text-summarizer)

* [![Build Status](https://travis-ci.com/franfj/Summarizer.svg?branch=master)](https://travis-ci.com/franfj/Summarizer)

* [![FOSSA Status](https://app.fossa.io/api/projects/git%2Bgithub.com%2Ffranfj%2FSummarizer.svg?type=shield)](https://app.fossa.io/projects/git%2Bgithub.com%2Ffranfj%2FSummarizer?ref=badge_shield)

* [![Sonar Status](https://sonarcloud.io/api/project_badges/measure?project=franfj_Summarizer&metric=alert_status)](https://sonarcloud.io/dashboard?id=franfj_Summarizer)

#### Installation

pip install text-summarizer

#### Packages needed

See requirements.txt

#### Usage

~~~~

# Import summarizer

from text_summarizer import summarizer

# Init summarizer parameters

summarizer.text = input_text

summarizer.algo = Summ.TEXT_RANK    # Summ.TEXT_RANK is equal to "textrank"

summarizer.percentage = 0.25

# Summarize with summarize() (returns a paragraph) or schematize() (returns a schema)

summarizer.summarize()

summarizer.schematize()

# You can also init the parameters in the summarize() / schematize() call

summarizer.summarize(text_to_be_summarized)

summarizer.summarize(text_to_be_summarized, "textrank", 0.5)

~~~~

#### More (theorical) information about text summarization

[More info in icoxfog417/awesome-text-summarization](https://github.com/icoxfog417/awesome-text-summarization)

#### License

Copyright 2018 Francisco Javier Rodrigo Ginés

This program is free software: you can redistribute it and/or modify

it under the terms of the GNU General Public License as published by

the Free Software Foundation, either version 3 of the License, or

(at your option) any later version.

This program is distributed in the hope that it will be useful,

but WITHOUT ANY WARRANTY; without even the implied warranty of

MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

GNU General Public License for more details.

You should have received a copy of the GNU General Public License

along with this program.  If not, see .

[![FOSSA Status](https://app.fossa.io/api/projects/git%2Bgithub.com%2Ffranfj%2FSummarizer.svg?type=large)](https://app.fossa.io/projects/git%2Bgithub.com%2Ffranfj%2FSummarizer?ref=badge_large)