AUSELECTIONS.COM
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http://www.auselections.com/
A minimal Jekyll theme for your blog by designer Michael Rose.
http://www.auselections.com/
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Emma Chisit | auselections.com Reviews
https://auselections.com
A minimal Jekyll theme for your blog by designer Michael Rose.
auselections.com
First forecast – Emma Chisit
http://auselections.com/first-forecast
Photo Credit: Cradle Mountain National Park, Tasmania, 2014. A data-driven model for Australian elections. The Emma Chisit model had its official debut today: the current forecast page. Was updated today with the first forecast model. The forecast is a little basic, as the following features of the model are still missing:. Marginal polls and demographic clustering. Automatic adjustment for high-profile candidates and independents (these are currently hardcoded into the model). Things to look out for.
Current forecast – Emma Chisit
http://auselections.com/current-forecast
A data-driven model for Australian elections. Current seat-by-seat forecast (Mackerras pendulum). Forecast last updated on 17/4/2016 at 4:46 AEST. 2016 Clinton Boys. Powered by Jekyll. Using the Minimal Mistakes.
Emma Chisit – Emma Chisit
http://auselections.com/about
Photo Credit: Orange, New South Wales, 2013. A data-driven model for Australian elections. Emma Chisit is a data-driven model for predicting and analysing Australian federal and state elections that I’m currently developing. Emma Chisit is Australian slang for how much is it? In an Australian accent, both expressions sound exactly the same. The phrase has its origins here. What does it aim to do? The aim of the model is twofold:. How is it different from existing models? 29/3/15: As I only have a databas...
Emma Chisit - setup on AWS – Emma Chisit
http://auselections.com/ec2-migration
Photo Credit: Cradle Mountain National Park, Tasmania, 2014. A data-driven model for Australian elections. Emma Chisit - setup on AWS. Today I moved Emma Chisit to an EC2 server; this way I will be able to fully automate the model. My aim is to have a fully automated model set up by the time the election draws close enough for marginal polls to start being commissioned (the inclusion of marginal polls is the real point of differentiation for the Emma Chisit model). Update its poll aggregate.
More polls and more movement towards the ALP – Emma Chisit
http://auselections.com/more-movement
Photo Credit: Blue Mountains, 2014. A data-driven model for Australian elections. More polls and more movement towards the ALP. The Emma Chisit model updated. Today after a break which resulted in some changes and improvements to the model and the website. Emma has been a little slow to reflect these changes, but the end result is an improvement of four seats towards the ALP: the model now has them winning 61 seats, a 6-seat improvement from their 2013 result. Proper support for third-parties. Once all t...
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Sentiment analysis of Q&A tweets I - Sentiment analysis using out-of-the-box tools – Clinton Boys
http://www.clintonboys.com/qanda-tweets
Photo: Amsterdam, The Netherlands, 2012. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Sentiment analysis of Q&A tweets I - Sentiment analysis using out-of-the-box tools. The panel for this program consists of five people, together with the host Tony Jones. The panel this episode consisted of. Andrew Robb, a member of the current conservative government who is the minister for trade and investment. Dave Hughes, a popular comedian. I wanted to try and ass...
Article collection – Clinton Boys
http://www.clintonboys.com/articles
Photo: Isfiya, Israel, 2015. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. On this page I keep a repository of interesting longform articles I’ve read from all over the web. A cult psychedelic drug camp. About the nostalgia of fast food. An erudite and informed history. Of the problematic state of Yemen. Wired’s optimistic take on the Apple watch. And its ability to transform our relationship with smartphones. David Simon, creator of The Wire, interviews.
Sentiment analysis of Q&A tweets II - Training a custom sentiment dictionary – Clinton Boys
http://www.clintonboys.com/qanda-tweets2
Photo: Big Sur National Park, California, 2013. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Sentiment analysis of Q&A tweets II - Training a custom sentiment dictionary. Rather than actual comment on the program and its contents and panel members. My training code is pretty simple, because all the real work is unfortunately with the human classifying the tweets:. This process is bound to introduce a whole bunch of subjectivity. hopefully my left-wi...
Sentiment analysis of Q&A tweets III - Estimating political affiliations – Clinton Boys
http://www.clintonboys.com/qanda-tweets3
Photo: Stella Maris, Haifa, Israel, 2014. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Sentiment analysis of Q&A tweets III - Estimating political affiliations. Posts in this series, I came up with a method of scoring the sentiment of tweets from the Q&A program. I now want to put all these pieces together to try and get a feel for the political leanings of Twitter users watching the program. Def NegativePercentage(tweet): total words = 0 bad words = 0 ...
Projects – Clinton Boys
http://www.clintonboys.com/projects
Photo: Hawkesbury River, New South Wales, 2014. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. It’s an ongoing project of mine to develop a forecasting model for elections in Australia. I’ve made a number of posts on this website about the pitfalls and difficulties of coming up with such a model (starting here. I’m calling the model I’m building Emma Chisit. I wrote a primitive scraper. I wrote a trendy scraper. I wrote a tongue-in-cheek game to demonstra...
NSW Senate Predictions
https://blog.geeklections.com.au/federal/2016/senate/2016/06/28/nsw-senate-predictions.html
June 28, 2016 13:30 Federal 2016 Senate. Ok, finally. I did it. I have something to show for all of my efforts. Drum roll please. Yeah that didn’t work. Ok here’s the possible outcomes for the Senate race in NSW:. NSW Election Outcome Breakdown. What does this mean? Well, the LNP. Is guaranteed 4 seats, and probably 5, while the ALP. Is guaranteed 4 seats (nearly) and has an outside chance at 5. The Greens. Will get 1 seat, and the rest of them are up for grabs! The most likely outcome is:. Has a nice so...
New Blog!
https://blog.geeklections.com.au/site/2016/03/14/new-blog.html
March 14, 2016 09:30 Site. Election season is upon us! 2016 is ( most probably. The year of the next Federal election. There’s tons of interesting things happening in local politics, and this means plenty of analysis:. The LNP dropping in the two party preferred polls. The Nick Xenophon Team. Is polling quite well. In South Australia (big bump to the. Are happening for (maybe) announcements tomorrow. I will be updating the site over the next few weeks, with hopefully more content like this:.
About – Clinton Boys
http://www.clintonboys.com/about
Photo: Berlin, 2012. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Welcome to the personal website of Clinton Boys. I am an Australian living and working in Tel Aviv. A year ago I completed my PhD in Pure Mathematics and now I work as a data scientist. This website contains my blog, as well as a partial (and growing) collection of projects of mine. This post. Details the hardware and software I use to get things done. Using the Minimal Mistakes.
All Posts – Clinton Boys
http://www.clintonboys.com/posts
Photo: Nyhaven, Copenhagen, Denmark, 2012. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Five months of data science. It’s been more than five months since I started working as a data scientist. Since I taught myself most of the specific technical skills I needed, I thought . Emma Chisit's new home. Regression and stepwise selection. Playing with data in Excel and pandas. Forecasting Australian elections V - The tricky seats. Forecasting Australian elect...
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Emma Chisit
A data-driven model for Australian elections. More polls and more movement towards the ALP. The Emma Chisit model updated today after a break which resulted in some changes and improvements to the model and the website. The Emma Chisit model updated today because of a Newspoll released, tying the ALP and Coalition two-party preferred vote at 50-50. Although most individual s. Emma Chisit - setup on AWS. 2016 Clinton Boys. Powered by Jekyll. Using the Minimal Mistakes.
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