https://github.com/centre-for-humanities-computing/classic-topic

Web application for dynamic topic modelling on classical texts in the "Computing antiquity" project

https://github.com/centre-for-humanities-computing/classic-topic

Science Score: 26.0%

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

  • 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 (12.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Web application for dynamic topic modelling on classical texts in the "Computing antiquity" project

Basic Info
  • Host: GitHub
  • Owner: centre-for-humanities-computing
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 290 KB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 1
  • Open Issues: 3
  • Releases: 0
Created over 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme License

README.md

Topiquity

Code style: black MIT license Docker made-with-python

Web application for dynamic topic modelling on classical texts in the "Computing antiquity" project.

Screenshot

Setup

In order for the application to run properly you will need a dat/cleaned_corpus.csv in the working directory.
This file has to contain a table with one column being id_nummer containing the IDs of the texts, the other being text containing a whitespace-separated cleaned texts.

Debugging

For debugging purposes (or if you're just lazy to mess with docker) you may run the app by installing dependencies:

bash pip install -r requirements.txt

Then run the main script in the following fashion:

bash cd src && python3 main.py

The server will listen at localhost:8080, you are free to open it up in your browser.

Deployment

Both a Dockerfile and a docker compose default configuration is included in the repository, these might aid you in deploying the application to a webserver of some sorts, or just run the app on your computer in an isolated environment. It's easiest to get started by running the app in docker compose:

bash docker compose up

This will spin up a container and attach to localhost:7011

Known limitations

  • DMM and LSI don't work particularly well, sometimes not at all, you should use LDA or NMF as things stand right now. A project-agnostic topic investigation platform might be developed in the near future.
  • The code is heavily project-specific, if you want to use the application with a different corpus you will have to dig deep into the code.

Owner

  • Name: Center for Humanities Computing Aarhus
  • Login: centre-for-humanities-computing
  • Kind: organization
  • Email: chcaa@cas.au.dk
  • Location: Aarhus, Denmark

GitHub Events

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Last synced: about 1 year ago

All Time
  • Total issues: 3
  • Total pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
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  • x-tabdeveloping (3)
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  • x-tabdeveloping (4)
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