Did you know you can log in to your Twitter account via Tweetstats, and create a word cloud of just your posts? After this previous post I wondered. Could a word map be useful, apart from its eye-candy appeal?
As those of us who took part in this exercise begin compiling a report of our social media coverage, I realized that this could be another way to create a snapshot of each team member’s activity. But besides that, I can see a few other uses:
- It can be used to compare two different events that have something in common –say two consecutive lectures, two conferences, to compare the buzz that speakers generate.
- Or to take it to a macro level, we could track hash tags in relation to a particular brand attribute, and map it over consecutive weeks. This will give a brand manager better understanding how that attribute is being received 0r rejected in the twittersphere.
- We can they overlay it with other analytics using a service such as Buzzgain or Crawdad, and see the effect from multiple angles.
- We could the word map from one event to set a target for a similar event. In the above example, the words “thanks” and “news” add not value, and probably were a waste of characters given the 140 limitation.