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methodshub-bertclassification

https://github.com/gesiscss/methodshub-bertclassification

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: gesiscss
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: v0.0
  • Size: 2.37 MB
Statistics
  • Stars: 4
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

Fine-Tuning Transformer Models for Classification of Digital Behavioural Data

The complete data: https://search.gesis.org/research_data/SDN-10.7802-2251

Rendering

Withe quarto and (mini)conda installed:

sh conda create -f environment.yml conda activate sexism quarto render

Owner

  • Name: GESIS – Leibniz Institute for the Social Sciences
  • Login: gesiscss
  • Kind: organization
  • Location: Cologne, Germany

Department Computational Social Science

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: >-
  [Tutorial] Fine-Tuning Transformer Models for Classification of Digital Behavioural Data
message: >-
  If you use this tutorial, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Indira
    family-names: Sen
    email: indira.sen@uni-mannheim.de
    affiliation: University of Mannheim
identifiers:
  - type: url
    value: 'https://github.com/gesiscss/methodshub-weat'
repository-code: 'https://github.com/gesiscss/methodshub-weat'
license: MIT

GitHub Events

Total
  • Issues event: 4
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 5
  • Pull request review event: 1
  • Pull request event: 2
Last Year
  • Issues event: 4
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 5
  • Pull request review event: 1
  • Pull request event: 2