Author Information

Weixuan WangFollow

Author Bios (50 Words for each Author)

Weixuan Wang is a Ph.D. student in Leisure Behavior at Indiana University Bloomington Department of Health and Wellness Design. She received her master’s degree in Tourism Management in 2015. Her research focuses are senior travel and accessible tourism

Abstract (150 Words)

Baby Boomers are recognized as the most avid travelers. Many of the Baby Boomers are motivated to travel due to the health benefits of travel. This research explores health-related topics shared by baby boomers on their travel blogs. To better understand how travel experience is related to health and overall well-being of Baby Boomer travelers. This research studied 57 Baby Boomers travel blogs and collected their health-related posts. To mine the mining of the large unstructured textual data, Natural Language Processing (NLP) methods such as top modeling with Latent Dirichlet Allocation (LDA) algorithms were utilized to discover the hidden topics within the textual data. 12 topics were generated by LDA analysis, including travel planning, travel attraction and events, health care at home, health insurance and care during travel, resort, cruise, city trips, food and beverage, travel activities on-site, social well-being, healthy diet and lifestyle, and arts.

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Mining Meaning of Health in Baby Boomer Travel Blogs

Baby Boomers are recognized as the most avid travelers. Many of the Baby Boomers are motivated to travel due to the health benefits of travel. This research explores health-related topics shared by baby boomers on their travel blogs. To better understand how travel experience is related to health and overall well-being of Baby Boomer travelers. This research studied 57 Baby Boomers travel blogs and collected their health-related posts. To mine the mining of the large unstructured textual data, Natural Language Processing (NLP) methods such as top modeling with Latent Dirichlet Allocation (LDA) algorithms were utilized to discover the hidden topics within the textual data. 12 topics were generated by LDA analysis, including travel planning, travel attraction and events, health care at home, health insurance and care during travel, resort, cruise, city trips, food and beverage, travel activities on-site, social well-being, healthy diet and lifestyle, and arts.