Internet

An algorithm trained to detect unhappiness on social networks

Researchers have developed an algorithm that can identify the basic needs of users from the text and images they share on social networks. The experts hope this tool will help psychologists to diagnose possible mental health ...

Internet

Bot can spot depressed Twitter users in 9 out of 10 cases

A newly developed algorithm can spot depression in Twitter users with 88.39% accuracy. Developed by researchers at Brunel University London and the University of Leicester, the algorithm determines someone's mental state ...

Machine learning & AI

Machine learning to predict if you'll leave your partner

The life satisfaction of both partners and the woman's percentage of housework turned out to be the most important predictors of union dissolution, when scholars affiliated to Bocconi's Dondena Centre for Research on Social ...

Machine learning & AI

Machine learning predicts marital discord

The life satisfaction of both partners and the woman's percentage of housework turned out to be the most important predictors of union dissolution, when scholars affiliated to Bocconi's Dondena Centre for Research on Social ...

Internet

How to best analyze big social data

Big data is big, as it were, and the buzz phrase is often accompanied by associated terms such as data mining, machine learning, computational intelligence, the semantic web, and social networks. Research published in the ...

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