The impact that ageing has in terms of growing investments in long-term care and the reflection of increasing shares of older people in every sector of activity is a primary concern for who governs and for policymakers. As a consequence, the relation between ageing and healthcare expenditure growing is more and more studied by scholars interested in social and economic issues and scholars interested in health issues. A bibliometric analysis of publications related to this domain may highlight the drivers of this relation and tracks the evolution of the debate about this matter. Here a strategy based on word embedding is proposed, showing how this natural language processing approach can unveil the knowledge base embodied in the reference literature and offer the scientific community valuable insights.

A word embedding strategy to study the thematic evolution of ageing and healthcare expenditure growth literature

Milena Lopreite;Michelangelo Misuraca;Michelangelo Puliga
2022

Abstract

The impact that ageing has in terms of growing investments in long-term care and the reflection of increasing shares of older people in every sector of activity is a primary concern for who governs and for policymakers. As a consequence, the relation between ageing and healthcare expenditure growing is more and more studied by scholars interested in social and economic issues and scholars interested in health issues. A bibliometric analysis of publications related to this domain may highlight the drivers of this relation and tracks the evolution of the debate about this matter. Here a strategy based on word embedding is proposed, showing how this natural language processing approach can unveil the knowledge base embodied in the reference literature and offer the scientific community valuable insights.
9788891932310
science mapping, thematic analysis, natural language processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/337623
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