Twitter elections predictions: the election results…
The results are in since Sunday last weekend and here are the results for the flemish part of Belgium in short: NV-A have won a lot. From almost any side you look at it they improved their positions considerably with respect to last elections. CD&V GROEN have won a lot. They are clearly on the […] Continue reading
Twitter Elections predictions, final installment
Below you’ll find the final graphs I’ll plot. Top 9 for attention: PS SP.A NV-A MR GROEN OPENVLD ECOLO CDH CD&V Other parties got less than 2.5% Top 9 sentiment: SP.A GROEN PS ECOLO MR NV-A OPENVLD MG CDH According to these number you’d expect twitter users to not vote for CD&V at all. If […] Continue reading
Twitter elections prediction: the graphs
Here the positives and the negatives visually for each tracked party. Continue reading
Predicting elections with twitter: setting the stage
Introduction I’ll now set the stage so that I can start working on the project. As said some times before already, I’ll keep things simple. So, I apologize up-front if I cut some corners and don’t do everything the scientific way. A vote A positive tweet is considered a ‘vote’. A negative is considered a […] Continue reading
Predict elections with Twitter: preliminary thoughts
Introduction In this post I’ll be setting the stage for the next steps of the project. Data OK, let’s have a look at the main things we can get from Twitter: Tweets (content) user information her “opinion” (vote?) who gets re-tweeted a lot (influence?) Conversations To harvest this, we’ll -at least- need to: “Read” the […] Continue reading
Predicting Elections with Twitter
Before you get on your horses: I read the article about You Can’t Use Twitter to Predict Election Results. I also read the paper from Daniel Gayo-Avello from the University of Oviedo (Spain) in which he states that all past twitter election ‘predictions’ were either not really predictions, or flawed in some way (see p. 2). […] Continue reading
I’m an enterprise architect and have been passionate about Mobile and Architecture for years.
Many years I’ve been designing Mobile apps and back-ends. Now I’m looking into the next shift: Big Data and Cloud and AI. Combined with Mobile this is bound to give interesting architectural challenges.