Posted by The AntiMedia on February 14, 2018 1:55 pm

(TMU) — A new study, published in Clinical Psychological Science, has discovered a class of words that can accurately assess whether someone is suffering from depression. Utilizing a technologically advanced set of linguistics algorithms, computerized models cull through massive data banks of spoken or written text in minutes to determine if someone shows signs of being depressed.

What Do Plath, Beethoven, and Cobain Have in Common?

This technology may sound Orwellian, but it could be useful considering that people use language differently when they are depressed. You can see examples of this in the poetry of Sylvia Plath (Plath committed suicide in 1963), the song lyrics of Nirvana’s Kurt Cobain (Cobain allegedly took his own life in 1994), or even letters written by the composer, Ludwig van Beethoven, who was prone to ecstatic highs and suicidal lows.

Even the famous poet John Keats, wrote a poem in 1819 with advice for those who suffer

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