After much discussion in class, the Great British Bake Off has come to a conclusion. In less than 4 minutes after the announcement, twitter managed to have over 5,000 tweets with #GBBO.
This gave me another opportunity to use wordclouds to visualise the resultant tweets. A basic wordcloud – using words with a frequency of at least 15 is the first step (obviously removing GBBO, because they all contain that!)
The next step was to try to look at sentiment analysis….
A wonderful part of the twitter feed in the immediate aftermath was the overwhelming sense of joy – as captured by this very quick snapshot!
Why is Nadiya now noticeably bigger than final? The second plot only uses tweets where the sentiment behind them can be determined. So all those very short tweets that really didn’t contain much information within the text of the tweets were excluded from the final image. The “names” of the sentiments are somewhat coarse: anger / fear may be also considered as frustration in some instances.
I’m sure that I could do a better job… but this was one piece of analysis where time is of the essence! If the bakers are under a three hour deadline, then so should I be.
To be decided 