State of the Union Address Tag Cloud
I thought we posted on this last year. Jason Griffey takes The State of the Union address and remixes the top 75 words into a tag cloud. Now that he’s done it two years in a row, it could be an interesting look at the state of affairs over the last two years.
I’ve taken a fair number of public domain photos and dropped the backgrounds so I could use them in various projects. I figured they might be of use to some other people out there. If you click through to the largest image size you’ll find they are decently done (not perfect by any means) but the smaller versions auto generated by Flickr look like COMPLETE garbage. I’m not sure why. But they are PNG files so you can clean them up some more pretty easily if you’d like. The flickr set is here. Most of the ones up there right now are history related and it’ll likely stay that way for the immediate future.
First, go try it out if you want. Submit something. It’ll help it make more sense. I thought this would be a lot easier than I made it. I tried lots of paths and considered spending various amounts of money to make this easier. Please benefit (probably) from my wandering. I try to link in where I learned different things and, more importantly, I tried to emphasize vocabulary that might be useful to you. My goalThe goal elements expand once I get into the details as usually happens. was to- have a GoogleI did look at Leaflet and a few other options . . . but found Google to be the easiest path. Map interface that auto-located the device allow the user to drag the marker to adjust the location plot the resulting WordPress posts on a map To make this work you do need a Google Maps APISee here for more API evangelism key and on the WordPress side you’ll need the Gravity Forms (Costs money but worth it) and Geo Mashup (free) plugins. Gravity Forms will let you create posts via a form and provision form elements via URL parameters. Geo Mashup is the friendliest way I found to display posts on a Google Map based on lat/long parameters associated with the post. Auto Locate I went to […]
h/t the wily Alan Levine Seeing Cindy’s post which put “As We May Think” in a tag cloud, I started wondering about other text visualization options and understandings they might drive. ManyEyes was long my default for this type of thing but the hassles with Java security have driven me away. So I decided to give Voyant a try. Will Berry#thoughtvectors participant bonus score had used it so well with students, it seemed worth a more in depth exploration. You can play with the text of “As We May Think” in Voyant here. As you can see you get the typical tag cloud. You do have the additional ability to hide words using pre-constructed common word lists or custom lists you build yourself. That can be awfully useful. You also have the ability to select certain words from the corpusHumans and works as collections of strange things. and they will be charted in relative or raw distribution rates across the corpus. Incidents of “as”, “we”, and “may” are depicted below. You can also view occurrences of selected words contextually. Below are “record” and “thought” as I was curious how closely they would parallel one another. I think the contextual piece is nice, not quite as nice as the branch stuff ManyEyes does but nice and space appropriate. It’s interesting to […]