https://github.com/gedankenstuecke/good_puppers

Downloading rated dog pictures from @dog_rates
https://github.com/gedankenstuecke/good_puppers

Last synced: 8 days ago
JSON representation

Downloading rated dog pictures from @dog_rates

• Host: GitHub
• URL: https://github.com/gedankenstuecke/good_puppers
• Owner: gedankenstuecke
• License: mit
• Created: 2017-02-16T13:03:00.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-02-16T13:16:54.000Z (almost 8 years ago)
• Last Synced: 2024-11-13T14:25:31.578Z (2 months ago)
• Language: Python
• Size: 745 KB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# good puppeRs

Another nonsensical shower thought I had lately: Have the ratings of [@dog_rates](http://www.twitter.com/dog_rates) increased over time? The account was [started on 2015-11-15](https://twitter.com/dog_rates/status/832088576586297345) and luckily (at least from a scraping point of view) has tweeted only around ~3.5k times. So one can basically scrape all data through the *Twitter* API. Which is what this code does, [read my blogpost with a bit more details](http://ruleofthirds.de/they-are-good-dogs-indeed/) if you want.

## Usage

- Run `dogrates.py` in order to get all tweets that contain a rated dog.

- Run `plots.R` to get some figures created out of the data.

- Run `pupper_pictures.py` to download the images and bin them according to rating. Bonus: You can use this data right away to re-train *TensorFlow*. :joy: