Technobyte: Algorithm may reveal early warning signs of depression in tweets
This week I have been playing around with LG’s new flagship smartphone the V30. LG has been making some great devices over the last few years. They might not be as well known as Samsung and Apple, for example, but their devices are very good.
The V30 can comfortably play in the league of the top smartphones in the world. It is a beautifully designed phone that is robust well built and has a beautiful screen. Overall a superb device that is stylish and well built.
People who use social media reveal an awful lot about themselves. Much of the time, this is purposeful, as users share their political opinions and religious beliefs. But they also could be revealing things of which they are completely unaware, such as deterioration in their mental health.
Subtle alterations in the way a person communicates on Twitter could reveal the onset of conditions such as depression or post-traumatic stress disorder (PTSD). An interdisciplinary team of American scientists analysed Twitter data from 105 patients with clinically diagnosed depression and 99 healthy controls. The team's goal was to determine, using a supervised learning algorithm, if they could detect telltale changes in language that serve as potential markers of depression. Indeed, they could.
Depressed people tended to use more negative words like no, never, and death and fewer positive ones like happy and photo. Additionally, the algorithm detected signs of depression 100 to 200 days before the depressed patients were clinically diagnosed, which means that their algorithm could serve as a predictive tool.
A group of car companies has taken an important step toward making electric cars a more viable option for consumers, by forming a joint venture to build hundreds of fast-charging stations across Europe. The consortium, Ionity, is made up of Ford, BMW, Daimler, and Volkswagen (and VW-owned Audi and Porsche).
Ionity said that it would have 20 charging stations up and running this year in Austria, Germany, and Norway, and plans to add another 100 in various countries next year, with a view to reaching 400 stations across Europe by 2020. With 350kW capacity, the super-fast Ionity chargers will radically cut the time people need to wait around while topping up their batteries.
The stations will also be just 75 miles (120km) apart, meaning drivers don’t need to plan routes or worry about running out of charge before they reach the next one.
Nedbank has turned their existing banking app upside down and introduced a new Nedbank Money app with many new features aimed at making banking easier.
One of the new features includes an innovative way of sending money to anyone that is in your contacts list for example. The recipient will receive an SMS and can then withdraw the money at an ATM.
This article first appeared on 702 : Technobyte: Algorithm may reveal early warning signs of depression in tweets
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