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interactive-embeddings

This repository serves for development of our functions designed for allowing interactive visualizations of Word Embedding Data

https://github.com/ccs-zcu/interactive-embeddings

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 (8.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

This repository serves for development of our functions designed for allowing interactive visualizations of Word Embedding Data

Basic Info
  • Host: GitHub
  • Owner: CCS-ZCU
  • License: cc-by-sa-4.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 3.69 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 2
  • Releases: 0
Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

Interactive Embedddings Visualizations

Authors

  • Jana Švadlenková
  • Jan Tvrz
  • Vojtěch Kaše

License

CC-BY-SA 4.0, see attached License.md

Description

This repository serves for developement of a tool allowing interactive visual exploration of word embedding data based on corpora of early modern scientific literature in Latin (see this repo). This work is part of the TOME project.

Getting started

bash git clone [url-of-the-git-file] cd [name-of-the-repo] pip install -r requirements.txt

Go to scripts and run the notebooks

How to cite

[once a release is created and published via zenodo, put its citation here]

Ackwnowledgement

[This work has been supported by ...]

Owner

  • Name: CCS-Lab (Computing Culture & Society)
  • Login: CCS-ZCU
  • Kind: organization
  • Email: kase@kfi.zcu.cz
  • Location: Czech Republic

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
references:
  - type: "software"
authors: 
  affiliation: ""
      family-names: ""
      given-names: ""
      orcid: ""-
license: cc-by-nc-4.0
repository-code: ""
title: ""
version:
doi: 
date-released: 2023-04-27
abstract: ""
keywords:
  - ""

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Dependencies

requirements.txt pypi
  • gensim *
  • ipykernel *
  • jupyter *
  • matplotlib *
  • networkx *
  • nltk *
  • pandas *
  • scikit-learn *
  • sddk *
  • seaborn *
  • virtualenv *