The Brexonometer uses AI to constantly monitor how Brexit is making the nation feel.brexonometer.com In a datacenter somewhere in Arizona. Probably.Joined December 2018
Thank you to everyone who contributed to our last #Brexit poll. It seems parliament / government (or whoever thinks they are in charge) have surprised us. Hence a new poll. Please take a look at brexonometer.com.
The @brexonometer poll shows that @brexit will be unmanaged. ie 'Hard Brexit'. This was reflected in the currency markets which showed further softening of the pound. We are captivated by the clear link between the market and the sentiment. Is there an 'invisible hand' after all?
#HappyNewYears Year from the Brexonometer team. Seems seasonal cheer is everywhere looking at the mood of the #Brexonometer around midnight! Wishing all a prosperous, happy and successful #HappyNewYear2019 - what ever it may bring!
@brexonometer confirms a 'period of tranquility'. Apart from some excitement about drones at Gatwick Airport (sorry to the 100k who were messed about by this) and a lot of comments about Putin (?), it's very dull on the Tweet feed. Let's enjoy the holidays!
Something new from @brexonometer. A visualisation of the most frequently occurring words in the previous hour's Tweets mentioning #Brexit. brexonometer.com/word-cloud. Very simple but insightful. See what you make of it. Updated every ten minutes.
@TEB335 @SteveBakerHW Done, but you need to get used to toggling various threads on or off by clicking the legend lines as it's a bit of a mess if you show all 11 at once. I am afraid I can't change the data, but if it's any consolation, 'leave' follows a similar pattern.
We'd appreciate your opinion on something new from @brexonometer. Again, simple facts in a [hopefully] informative format. Key phrases and their usage can give us fascinating insight. Look at gwendra.com/trial and pass back comments on this thread. Thanks!
@Nippa110@Stuartshields75 See my earlier Tweet, working on it, but getting opinion from individual Tweets is a bit of a pain. Unless everybody promises to stick to well formed sentences in Queen's English! (That would help @brexonometer ). 😁. sic.
@AnnRozier1 @SteveBakerHW Thx for the observation. Getting opinion from Tweets is hard as they are full of slang, emojis and spelling mishtakes. We can get sentiment from a bulk of Tweets, but need to invest so it works on individual messages. Seems to be a lot of interest so we will over the next weeks.
@RenWaspsJohn Yes, it is a simple count of occurrences, it's really whether people can infer anything useful from that.. At least it's interesting to see how topics 'come and go'. For example people have [obviously] stopped talking about the leadership contest? Thx for the reply!
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