Track Twitter World Cup Sentiment with Splunk

As a new product manager here at Splunk, I felt compelled to get my hands dirty and build an app of my own. I had trouble deciding what to build, but after witnessing the World Cup mania and demonstrations of team pride at Splunk’s headquarters I through that somehow capturing World Cup team sentiment might be a fun exercise.

I first armed myself with a Python scripted input made by a fellow Splunker that samples the Twitter updates via the Twitter Streaming API. The sampling algorithm is deterministic, meaning that all users have access to the same subset of tweets and that it is not possible to reconstruct the entire tweetstream. However, the results that Twitter returns are filtered for …

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