study-cultural-analytics-code

This repository contains code and data for the course Cultural Analytics at the University Leipzig.

Requirements

Installed Python, Docker and docker-compose.

Installation

To install the required packages, run:

cd django-app
py -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt

Usage

Go to the django-app directory, copy the .env.example file to .env and fill in the required variables.

cd django-app
cp .env.example .env

To start the Django server, run:

docker compose up --build --watch

The Django server is now running on http://localhost:8000.

The Scraper API is available at http://localhost:8000/scraper. The Analyzer is available at http://localhost:8000/analyzer. The Visualizer is available at http://localhost:8000/visualizer.

For more helpfully commands, see the README.md in the django-app directory.

To view the database, you can use the included open course sqlite viewer. The source is (https://github.com/inloop/sqlite-viewer). For more information, see the README.md.

More information about the hashtag clustering scrips can be found in this README.md.