https://github.com/jboynyc/shifterator

Interpretable data visualizations for understanding how texts differ at the word level

https://github.com/jboynyc/shifterator

Science Score: 13.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.9%) to scientific vocabulary
Last synced: 8 months ago · JSON representation

Repository

Interpretable data visualizations for understanding how texts differ at the word level

Basic Info
  • Host: GitHub
  • Owner: jboynyc
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 40.1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of ryanjgallagher/shifterator
Created over 3 years ago · Last pushed 12 months ago

https://github.com/jboynyc/shifterator/blob/master/

# Shifterator

The Shifterator package provides functionality for constructing **word shift graphs**, vertical bart charts that quantify *which* words contribute to a pairwise difference between two texts and *how* they contribute. By allowing you to look at changes in how words are used, word shifts help you to conduct analyses of sentiment, entropy, and divergence that are fundamentally more interpretable.

## Install Python code to produce shift graphs can be downloaded via pip. `pip install shifterator` ## Documentation [The documentation](https://shifterator.readthedocs.io/en/latest/) details how to create various kinds of word shift graphs with Shifterator, and includes a detailed cookbook for how to interpret, visualize, and work with word shifts. See the following paper for more details on word shifts, and please cite it if you use them in your work: > Gallagher, R. J., Frank, M. R., Mitchell, Lewis, Schwartz, A. J., Reagan, A. J., Danforth, C. M., Dodds, P. S. (2021). [Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts](https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-021-00260-3). *EPJ Data Science*, 10(4).

Owner

  • Name: John Boy
  • Login: jboynyc
  • Kind: user
  • Location: Amsterdam ✖✖✖
  • Company: Leiden University

full-stack sociologist

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1