I stumbled upon this video via FlowingData. It’s soft on details and data, but highlights the power of text message analysis to create change for kids.
So far in our exploration text messaging, we’ve analyzed the time of day each message arrives and the structure of each message. We’ve been able to pick out typical behaviors like timing of sleep cycles and life events like a trip to Switzerland. We’ve found a relationship between the structure of messages and the kind […]
By way of today’s episode of Ze Frank’s “a show” Victor Hugo wanted to know how his book, Les Miserables, was doing. So he wrote his publisher. All he included in his letter was a single character, a “?” His publisher wrote back with a single character, a “!” So little information, so much exformation, […]
Let’s continue with our analysis of text message behavior by shifting over into content. One of the first things to understand is the form of each message. What’s the length of each message? As a function of length, how does the content of the message change? To begin with…
A couple of months ago I read Stephen Wolfram’s article about analyzing his emails and saved files. If you’ve not seen it yet, it’s definitely worth a read. I was intrigued and wanted to apply a few of these analysis ideas to my own life. I don’t have 30 years of saved email (yet), but […]
I’m working on a program to analyze text messages for sentiment, as well as other features of how communication occurs. In the course of this, I’ve been playing around with a way to get text messages off the iPhone and into a data format that’s more directly usable.