Archive

Parsing #cloudchat with word clouds

Share this post:

All you ardent fans of this blog probably know about the monthly Twitter #cloudchat. By the way—you should join today’s session on “Supercomputing on Demand” from 4-5 p.m. ET. For those who aren’t familiar with #cloudchat, it is a one-hour interactive chat session on Twitter usually hosted by @IBMcloud and featuring a panel of industry experts. A central cloud-related (cloud  in this context ≠ cumulonimbus or stratocumulus – more on that later) theme for the chat is pre-announced, and several questions are seeded prior to the session, and participants riff back and forth.

I participated in my first #cloudchat a month ago, on the topic of the “Cloud and the Connected Home,” while at the IBM Redbooks Residency on Cloud and Social Media.

I, for one, didn’t have a clue that there was such a beast as a “Twitter Chat.” In fact, I didn’t even have a Twitter account till last week.  I was intrigued by the fact that so many people from around the globe thought it worth their time to jump in and share views on a topic that they were obviously interested in and knowledgeable about. However, the posts scroll by rapidly, and when you are busy composing a tweet, you would have missed many. So I decided to find out how to get to the heart of the debate.

I tried to do two things – understand who was doing the talking (tweeting, rather) and what they were talking about. To get to this, if you search Twitter for “#cloudchat,” you get a bunch of tweets in reverse chronological order – not quite the ideal way to understand a wide-ranging conversation on multiple topics among a bunch of participants. See the snapshot below!

(sorry Kevin, wrong sort of cloud!)

So, I tried to simplify things a bit for my mind to be able to grasp it. I copied all of the tweets into a spreadsheet, and a few quick VBA macros later, ended up with a clean, nicely formatted 3-column list, with the Tweeter’s Name, Twitter Handle and the actual tweet itself.

On to the next step – taking all of this text data and dropping into IBM ManyEyes for a couple of visualizations. Here goes!

In the “Word Cloud” above, the font size for the Twitter handles is proportional to the number of tweets – so @JimONeilParks, @JAdP, @ConnectedWMag and @pbrody had the most to say on the topic of connected homes.

On to what was said – here’s a similar Word Cloud of the words in the tweets themselves (of course, common English words like “a,” “the,” etc., were eliminated from consideration). A lot of talk about the “cloud” and the “connected home” (obviously!), but also a lot of talk on “enabling,” “security,” “apps,” “TV” and “devices.”

You can see a recap of the September #cloudchat (with the actual tweets) here: https://ibm.biz/BdxZtg.

More stories

Why we added new map tools to Netcool

I had the opportunity to visit a number of telecommunications clients using IBM Netcool over the last year. We frequently discussed the benefits of have a geographically mapped view of topology. Not just because it was nice “eye candy” in the Network Operations Center (NOC), but because it gives an important geographically-based view of network […]

Continue reading

How to streamline continuous delivery through better auditing

IT managers, does this sound familiar? Just when everything is running smoothly, you encounter the release management process in place for upgrading business applications in the production environment. You get an error notification in one of the workflows running the release management process. It can be especially frustrating when the error is coming from the […]

Continue reading

Want to see the latest from WebSphere Liberty? Join our webcast

We just released the latest release of WebSphere Liberty, 16.0.0.4. It includes many new enhancements to its security, database management and overall performance. Interested in what’s new? Join our webcast on January 11, 2017. Why? Read on. I used to take time to reflect on the year behind me as the calendar year closed out, […]

Continue reading