Manthiou, AikateriniLuong, Van HaKlaus, Phil2024-01-112024-01-112023-09-229788413960869https://riunet.upv.es/handle/10251/201798[EN] This study aims at conceptualizing the solo tourism consumption journey. We use a semisupervised machine learning approach and analyze more than 27,000 tweets. The seed sets extraction, seed and topic confidence and model fit evaluations will provide us with the dimension of solo tourism conceptualization.The results will reveal how consumers perceive solo tourism consumption. This study provides scholars and managers with an evidencebased solo consumption conceptualization, as well as with a marketing, psychological, and operation tool to manage the solo consumer segment.4Reconocimiento - No comercial - Compartir igual (by-nc-sa)Solo tourismSemi-supervised Latent Dirichlet Allocation (LDA)Machine learning approachTweetsCapítulo de libro10.4995/CARMA2023.2023.16508Abierto