ALONE WITH MY THOUGHTS: USING NATURAL LANGUAGE PROCESSING TO DISTINGUISH LONELY FROM CALM ALONENESS
Jennifer Lay · 2023
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Description
Jennifer Lay used language analysis to tell lonely moments from calm ones in the daily thought reports of adults who were alone, in work published in 2023. More than fifteen hundred thought samples came from one hundred thirty three adults across a wide age range. Each sample paired free written thoughts with a mood rating.
A learning classifier read the words and guessed the mood with up to sixty seven percent accuracy for loneliness and seventy nine percent for calm. Lonely reports mentioned work more often. Calm reports mentioned reading and thinking more often, which fits quiet solo activity. The author suggests brief thought reports could help spot older adults at risk of loneliness.
Catalog record
| CREATOR | Jennifer Lay |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |