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posted on 27 October 2014 by Jeff Kolb
Introduction Python is a powerful, easily readable, and well-documented scripting language that is well suited for data exploration and analysis. The purpose of this article is to explore a Python script that performs a simple but complete parsing of JSON-formatted social media data, such as would be streamed or downloaded from a Gnip API endpoint. The article is meant to be accessible to readers with little to no previous experience with Python. In this example, we’ll start by loading some Twitter data, then extracting the Tweet actor ID and the language identification, and finally, printing the comma-separated output. The general... keep reading
Data and Rule Management with jq
Tips on how to use jq to inspect JSON data, debug invalid PowerTrack rules, and generate new PowerTrack rules from a plain-text file.
24 September 2014
Honoring User Intent on Twitter
An overview of honoring user intent and privacy on Twitter.
17 August 2014
Planning for High-Volume Social Data Events
Overview of best practices for preparing for high-volume social data events.
04 June 2014
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