analyzing-social-media-data-with-python.json

{
  "alias": "video/2850/analyzing-social-media-data-with-python",
  "category": "PyOhio 2014",
  "copyright_text": "CC BY",
  "description": "",
  "duration": 3600,
  "id": 2850,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2014-07-26",
  "slug": "analyzing-social-media-data-with-python",
  "speakers": [
    "Fletcher Heisler"
  ],
  "summary": "What does the perfect tweet or a viral blog post look like? When should\nit be posted? We'll introduce various tools for working with data in\nterms of collecting (requests), exploring (IPython, pandas), analyzing\n(NLTK, scikit-learn) and visualizing (matplotlib). In the process, we\nwill uncover some surprising strategies for getting content shared\nacross social media.\n",
  "tags": [
    "talk"
  ],
  "thumbnail_url": "https://archive.org/services/img/pyvideo_2850___Analyzing_social_media_data_with_Python",
  "title": "Analyzing social media data with Python",
  "videos": [
    {
      "type": "archive.org",
      "url": "https://archive.org/details/pyvideo_2850___Analyzing_social_media_data_with_Python"
    },
    {
      "length": 0,
      "type": "youtube",
      "url": "http://youtu.be/UeSUUJFiHFY"
    }
  ]
}