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For the purposes of the study,the researchers interviewed
80 residents at an independent living sector of a senior housing
community in San Diego County.They asked questions intended
to make a judgement about various aspects of loneliness,with
the answers being transcribed (and then analyzed using the
IBM Watson NLU iv program,which could "quantify sentiment
and expressed emotions".These analytic methods operate by
scanning for the frequency of words and phrases used in respon
ses,and by assigning scores for sentiment and also for emotion.
In order to evaluate their accuracy,the scores assigned by artifi
cial intelligence were compared against manual assessments of
loneliness.
In their discussion of the results,the researchers found that