Note that I will be showing several Twitter monitoring tools and techniques in Seattle at our (unofficial) Twitter Conference on March 8.
We downloaded several thousand tweets today containing the term “Tiger Woods.”Our system did a sweep to eliminate several of the spam/robotic tweets, and flagged each remaining tweeter for gender. It then analyzed each tweet for the level of “sympathy” toward Tiger after his public apology today.
The overall sentiment is running 71% to 29% unsympathetic, with tweets indicating people are loath to hear what Tiger has to say. Tweets indicate that people are tired of the scandal in general, which is breeding some negativity toward Tiger personally.
Males are more sympathetic than females (25% sympathetic for females vs. 31% for males)
Males were more likely to be cracking a jokes at Tiger’s expense. 34% of the male Tweets were humorous, i.e.
Did you hear Tiger Woods and Toyota Teamed up??? Their slogan is ” I swear we can stop
29% of the female tweets were intended to be funny.
Our analysis contradicts what’s being reported elsewhere regarding the overall neutral linguistic “tone” of tweets made by generic automated sites like Socialmention. The image below provides some evidence of what Socialmention reports (and why.) Note that the dots to the left of Tweets indicate tone. Red = negative etc. Note the “negative” tweet flagged.
Unlike our analysis, sites like Socialmention can’t easily align tone to a specific entity within it, so you get tweets like the following tagged (with gray dots) as neutral:
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Dynotron will be using Twitter with our smart energy meter and Dynotron home automation system. Each home will Tweet what the home status is doing and what the home needs. Our device can be setup to track cheating husbands like Tiger Woods.