Skip to content
GOLTC | Globe Icon
Globe Icon
GOLTC

GLOBAL
OBSERVATORY
OF LONG-TERM
CARE

Part of the International Long-Term Care Policy Network (ILPN)

 

Journal article

Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults

Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults

Data scienceNatural Language ProcessingQuality of care Netherlands Data science and LTC researchNatural Language ProcessingQualitative studiesText Mining

KEYWORDS / CATEGORIES

Publication Type

Countries

Languages

Topics

| |

Methods

| | |

Hacking, Coen, Hilde Verbeek, Jan PH Hamers, and Sil Aarts. “Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults.” Plos one 18, no. 11 (2023): e0292578. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0292578