Good stuff! I wonder if you could somehow classify the conversation trees using depth or branching factor or whatever to predict and/or discover hot topics. Like you said, AMAs tend to have a pretty obvious structure but maybe that could be extended to discover "controversial" threads -- or even people!
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jemhoff
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amazon.com 13y ago
AM
Visualizing discussions on Reddit with a D3 network and Embedly 13 years ago
How I'd do it: Use Embedly! Our extract API returns the dominant colors of all the images it finds: http://embed.ly/docs/extract/api/response#extract-images
For those that are curious, what happens under the covers is a random sampling of the image followed by a conversion to LAB color space (even better than YUV in terms of human perception) and finally some K-means clustering.
To see this in action, check out http://tightro.pe.
SSL Image proxy and Resizing API for Web Images 13 years ago
That feature is sweet. And tight.
Ember at Embedly - Part IV - Models and Ember Data 13 years ago
Hey bro your red warning is blue, just sayin.
The Rise of "Gangnam Style" - Embedly Stats 14 years ago
Whoops, you're right! I don't think I've ever noticed that before -- just changed it to a monotone cubic and it looks much better. Thanks!