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#Twitter word cloud generator how to#
I learnt some valuable lessons, about how to generate word clouds but also about working with different departments (and colleagues) to create something for the paper. And they let us know early on Thursday, so my colleagues didn’t spend too long on it (sometimes we don’t get told at all). The reason in this case was space – the word cloud simply didn’t work in the space available on the page. This happens fairly often in journalism – a story is superceded by breaking news, the space is needed for advertising or a better alternative presents itself. …the word cloud was dropped from the supplement. They started to add to the list of tweets at the end of Wednesday (while I was still in, to check they’d got the process right). I wrote detailed instructions for colleagues, and at their request I talked them through the process at my screen, so they could create the cloud without too many difficulties. I showed the process to the art director who works on Education, and mocked up a word cloud using the layout and colours she chose, to see whether it worked on the page. Weed out the words we don’t want (check the ones we’re not sure about – ebacc, ict, hei – on Twitter), paste this into Wordle and voila! a word cloud.
#Twitter word cloud generator code#
Step forward production, specifically a systems editor, who showed me a nifty bit of code which takes the word counter list and returns each word, repeated as many times as the frequency number next to it. But how to turn that into a Wordle? I could see the most popular terms, but they only occur once in the text generated by the counter so the word cloud would be meaningless. That weeded out some of the basic stop words. I got as far as I could with it – I searched for #askgove on Twitter and pasted the available list of tweets so far into a program called word counter, to generate a list of words ranked by frequency. Problem four – I don’t work on Fridays.They wanted a cloud that highlighted the key questions being asked, so no words relating to usernames, no why/will/what/when… and sadly no swearing! Problem three – because there were so many tweets, it was impossible to go through and weed out all the extraneous words like reply, retweet, favorite, open, askgove before generating the cloud, to say nothing of all the stop words (and, a, the…).Problem two – they wanted the cloud generated on Friday (when they go to print) so they could include as many #askgove questions as possible, which meant checking for new tweets every couple of hours during the week to compile an immense list.
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