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Special Report, Americas, News
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For example, a sentence like, "This semester is really taking a toll on me" could register as a hit. To train the algorithm, the team first took a selection of posts from mental health subreddits as well as a control group of posts from subreddits unrelated to mental health. They used a method called inductive transfer learning to train the algorithm. This is a type of machine learning that involves storing knowledge gained by solving one type of problem. Then applying that knowledge to a different but related problem. Using their algorithm, the team developed a metric they called the Mental Well-being Index or MWI. A high MWI meant the student body posted about mental health issues less frequently on their university's subreddit, while a school with a low MWI indicated a higher concentration of such posts. According to the researchers, their algorithm was more than 90 percent accurate in identifying posts on subreddits that contained language indicating a student was suffering from some sort of mental health issue.




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