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    ARTICLE

    Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

    Mubashir Ali1, Anees Baqir2, Hafiz Husnain Raza Sherazi3,*, Asad Hussain4, Asma Hassan Alshehri5, Muhammad Ali Imran6

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2411-2427, 2022, DOI:10.32604/cmc.2022.024704

    Abstract With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades, social media platforms (such as Facebook, Twitter, and Instagram) have consumed a large proportion of time in our daily lives. People tend to stay alive on their social media with recent updates, as it has become the primary source of interaction within social circles. Although social media platforms offer several remarkable features but are simultaneously prone to various critical vulnerabilities. Recent studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression, anxiety,… More >

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