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gep-information-retrieval

https://github.com/inspirequalityeu/gep-information-retrieval

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (7.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: InspireQualityeu
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 21.5 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Project title

Information Retrieval for the INSPIRE's indicators

Description

This Python project is designed extrancting information for the INSPIRE indicators using Regular Expression in Python. This project does not include text preprocessing! The files were origanally in .PDF format but they were converted into .txt format before running this script.

INSPIRE is an EU funded project. INSPIRE is Europe's Centre of Excellence on inclusive gender equality in research and innovation. It brings together cutting-edge knowledge, ambitious policy approaches, and innovative practices to provide a gateway for scholars, equality experts, practitioners and trainers to connect and share resources, as well as co-create new ones. For more info please visit: https://www.inspirequality.eu/

Installation

To set up your local environment to run this project, follow these steps:

1-Ensure you have Python installed on your machine.

2-Optionally, you could use a virtual environment to manage the dependencies.

3-pip install -r requirements.txt

4-You could run via jupyter notebook!

5- Or you could save as .py then run the following: -python GEP-Information-Retrieval.py

License

Distributed under the Attribution-NonCommercial-ShareAlike 4.0 International license. Please, see LICENSE.md for more detail.

Owner

  • Name: INSPIRE
  • Login: InspireQualityeu
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this code, make sure cite it as below."
type: software
authors:
  - family-names: "Karataş"
    given-names: "Mazlum"
    orcid: 0000-0002-4096-0212
    affiliation: GESIS - Leibniz-Institute for the Social Sciences
    city: Cologne
    country: DE
    email: mazlum.karatas@gesis.org
title: "GEP-Information-Retrieval"
repository-code: 'https://github.com/InspireQualityeu'
url: 'https://www.inspirequality.eu'
license: CC-BY-NC-SA-4.0

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Dependencies

requirements.txt pypi