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- W4361731376 abstract "Recent exponential rise of social media impact has resulted in significant changes in how people conduct their lives. Sharing one’s ideas, thoughts, and feelings on a social platform like Facebook, Twitter and Reddit reveal a lot about a person's mental state, which is referred to as online behavior. Online behavior has been the subject of several studies and evaluations. Nowadays, people have begun to express their sentiments more on social media than in person with the introduction of social networking sites. This online accumulating data that users leave behind may be exploited to glean insights about their actions and mental state using machine learning. Different machine learning approaches have been employed, examined, and evaluated for suicidal inclination identification in this study to establish that Machine Learning Algorithms can properly identify a Social Media user's dwelling Suicidal Tendency." @default.
- W4361731376 created "2023-04-04" @default.
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- W4361731376 date "2022-12-16" @default.
- W4361731376 modified "2023-09-24" @default.
- W4361731376 title "Social Media Mining For Suicidal Ideation" @default.
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- W4361731376 doi "https://doi.org/10.1109/icac3n56670.2022.10073980" @default.
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