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Category: Data Science

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Trump’s Twittery Moods

February 22, 2017 / Sharon Richardson / 1 Comment

What do the contents of Trump’s tweets tell us about his priorities and communications style? Using natural language processing for linguistic analysis

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Hacking happiness

January 31, 2017 / Sharon Richardson / 2 Comments

An analysis of election candidates profile photos and personal statements using cognitive algorithms. Does happiness matter? Can it be faked?

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What about the default?

August 26, 2016 / Sharon Richardson / 2 Comments

Is to not vote to vote for the default position and should it be included in the results of a referendum?

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What makes a majority?

August 23, 2016 / Sharon Richardson / 2 Comments

When is a majority large enough to be considered decisive?

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Computer Vision Accuracy

January 18, 2016 / Sharon Richardson / 6 Comments

As the accuracy and range of image detection increases, so will it’s uses. How good are computers at detecting faces, facial attributes and emotions…?

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Visualising the Deprivation Index

November 10, 2015 / Sharon Richardson / 3 Comments

Exploring the index of deprivation that ranks all local authorities in England using multiple deprivation factors including income, employment, health, education, crime and living environment.  Read More

Killer Headlines

October 27, 2015 / Sharon Richardson / 3 Comments

Is eating meat really as dangerous as smoking… Did somebody use lions to test this hypothesis?

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The uncertainty of data

July 21, 2015 / Sharon Richardson / No Comments

The biggest risk with relying on data is not its accuracy but treating something to be certain when it may be anything but… Read More

The inaccuracy of data

July 21, 2015 / Sharon Richardson / 1 Comment

The bigger the pot of data, the more likely that inaccuracies will creep in to the analysis. The consequences depend on what happens next…

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Glastonbury Heatmap

July 10, 2015 / Sharon Richardson / No Comments

Plotting spatial updates shared via Twitter during the recent Glastonbury festival Read More

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