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<oembed><version>1.0</version><provider_name>Department of Computer Science</provider_name><provider_url>https://www.cs.jhu.edu</provider_url><title>Analysis of Twitter posts could provide fresh insight into mental illness trends - Department of Computer Science</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://www.cs.jhu.edu/news/analysis-of-twitter-posts-could-provide-fresh-insight-into-mental-illness-trends/"&gt;Analysis of Twitter posts could provide fresh insight into mental illness trends&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.cs.jhu.edu/news/analysis-of-twitter-posts-could-provide-fresh-insight-into-mental-illness-trends/embed/" width="600" height="338" title="&#x201C;Analysis of Twitter posts could provide fresh insight into mental illness trends&#x201D; &#x2014; Department of Computer Science" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>Johns Hopkins computers scientists, who have already used Twitter posts to track flu cases, say their techniques also show promise as a tool to gather important information about some common mental illnesses. By reviewing tweets from users who publicly mentioned their diagnosis and by looking for language cues linked to certain disorders, the researchers say,&hellip;</description><thumbnail_url>http://engineering.jhu.edu/wp-content/uploads/2014/12/twitter-apple-keyboard-283x300.png</thumbnail_url></oembed>
