orangearg
Argument analysis, mining, and visualization add-on for Orange3.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.4%) to scientific vocabulary
Keywords
Repository
Argument analysis, mining, and visualization add-on for Orange3.
Basic Info
- Host: GitHub
- Owner: EyeofBeholder-NLeSC
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://research-software-directory.org/software/orange3-argument-add-on
- Size: 12.3 MB
Statistics
- Stars: 4
- Watchers: 4
- Forks: 1
- Open Issues: 26
- Releases: 3
Topics
Metadata Files
README.md
Orange3 Argument Mining Add-on
This work is an open-source Python package that implements a pipeline of processing, analyzing, and visualizing an argument corpus and the attacking relationship inside the corpus. It also implements the corresponding GUIs on a scientific workflow platform named Orange3, so that users with little knowledge of Python programming can also benefit from it.
Table of Contents
Why
This package is designed with a clear mission: to empower researchers in building their own argument mining workflows effortlessly. Leveraging the capabilities of state-of-the-art, pre-trained language models for natural language processing, this tool facilitates the process of understanding arguments from text data. At its core, this work is committed to transparency and interpretability throughout the analysis process. We believe that clarity and comprehensibility are paramount when working with complex language data. As such, the tool not only automates the task but also ensures that the results are easily interpretable, allowing researchers to gain valuable insights from their data.
Please cite this work if you use it for scientific or commercial purpose.
Installation
This package requires Python version >= 3.8. We recommand installing this package in a new virtual environment to avoid dependency conflicts. The package can be installed from PyPI via pip:
console
pip install orangearg
Executing the above command will install both the necessary dependencies and the graphical user interface (GUI) components of Orange3.
Further details can be found in the installation guide.
Getting Started
If you would like to learn how to use this package for scripting, take a look at our example notebook.
To build and run workflows on Orange3, run the following command in your terminal to launch the Orange3 GUI, known as the 'canvas'.
console
python -m Orange.canvas
A sample workflow and dataset have been provided to illustrate the effective utilization of this package within Orange3.
For additional information, please refer to the guidance on using this package through widgets in Orange3.
Documentation
The documentation of this work can be found on Read the Docs.
Contributing
If you want to contribute to the development of this work, have a look at the contribution guidelines.
Credits
This work is being developed by the Netherlands eScience Center in collaboration with the Human Centered Data Analysis group at Centrum Wiskunde & Informatica.
This package was created with the Orange3 Example Add-on.
Owner
- Name: The Eye of the Beholder Project
- Login: EyeofBeholder-NLeSC
- Kind: organization
- Location: Netherlands
- Website: https://research-software-directory.org/projects/the-eye-of-the-beholder
- Repositories: 3
- Profile: https://github.com/EyeofBeholder-NLeSC
Software generated for the "Eye of the Beholder" project by the CWI and the Netherlands eScience Center
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Orange3 Argument Add-on
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Ji
family-names: Qi
email: qiji1988ben@gmail.com
affiliation: Netherlands eScience Center
orcid: 'https://orcid.org/0000-0001-8074-2730'
- given-names: Davide
family-names: Ceolin
email: davide.ceolin@cwi.nl
affiliation: Centrum Wiskunde & Informatica
orcid: 'https://orcid.org/0000-0002-3357-9130'
- given-names: 'Atefeh '
family-names: Keshavarzi Zafarghandi
email: atefeh.keshavarzi.zafarghandi@cwi.nl
affiliation: Centrum Wiskunde & Informatica
orcid: 'https://orcid.org/0000-0002-5806-1012'
identifiers:
- type: doi
value: 10.5281/zenodo.8383636
repository-code: 'https://github.com/EyeofBeholder-NLeSC/orange3-argument'
abstract: >-
This work is an open-source Python package that implements
a pipeline of processing, analyzing, and visualizing an
argument corpus and the attacking relationship inside the
corpus. It also implements the corresponding GUIs on a
scientific workflow platform named Orange3, so that users
with little knowledge of Python programming can also
benefit from it.
keywords:
- Python
- Natural Language Processing
- Sentiment Analysis
- Orange3
- Argument Mining
- Visualization
license: Apache-2.0
version: 0.1.0-alpha
date-released: '2023-09-27'
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Packages
- Total packages: 1
-
Total downloads:
- pypi 30 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: orangearg
Argument mining and reasoning add-on on Orange3 platform.
- Homepage: https://github.com/EyeofBeholder-NLeSC/orange3-argument
- Documentation: https://orangearg.readthedocs.io/
- License: Apache Software License
-
Latest release: 0.1.2
published over 2 years ago
Rankings
Maintainers (1)
Dependencies
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