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Survival strategies for family-run homestays: analyzing user reviews through text mining
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作者 jay krishnan Biplab Bhattacharjee +2 位作者 Maheshwar Pratap Janardan Krishna Yadav Moinak Maiti 《Data Science and Management》 2024年第3期228-237,共10页
Online booking of homestays through e-travel portals is based on the virtual brand and perception,which are largely affected by user-generated electronic word-of-mouth(eWOM).With the objective of mining actionable ins... Online booking of homestays through e-travel portals is based on the virtual brand and perception,which are largely affected by user-generated electronic word-of-mouth(eWOM).With the objective of mining actionable insights from eWOM,this study conducted opinion mining for homestays located in four thematic areas of Kerala.Accordingly,various techniques have been deployed,such as sentiment and emotional analyses,topic modeling,and clustering methods.Key themes revealed from topic modeling were breakfast,facilities provided,ambience,bathroom,cleanliness,hospitality exhibited,and satisfaction with the host.A lasso logistic regression-based predictive binary text classification model(with 97.6%accuracy)for homestay recommendations was developed.Our findings and predictive model have implications for managers and homestay owners in devising appropriate marketing strategies and improving their overall guest experience. 展开更多
关键词 TEXT miningTourismHomestaysTopic modelingPredictive MODELING
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