References
- Alaei, A. R., Becken, S., & Stantic, B. (2019). Sentiment analysis in tourism: Capitalizing on big data. Journal of Travel Research, 58(2), 175–191. https://doi.org/https://doi.org/10.1177/0047287517747753
- Anderson, C., & Han, S. (2016). Hotel performance impact of socially engaging with consumers. Cornell Hospitality Report, 16(10), 3–9. https://scholarship.sha.cornell.edu/chrreports/10/
- Bassig, M. (2019, March 21). How people use TripAdvisor reviews. ReviewTrackers. https://www.reviewtrackers.com/tripadvisor-review-analysis/
- Ben-Ze’ev, A. (2000). The subtlety of emotions. MIT Press.
- Brunner-Sperdin, A., & Peters, M. (2009). What influences guests’ emotions? The case of high-quality hotels. International Journal of Tourism Research, 11(2), 171–183. https://doi.org/https://doi.org/10.1002/jtr.718
- Chapman, C., & Feit, E. M. (2015). R for marketing research and analytics. Springer International Publishing.
- Chen, Y.-F., & Law, R. (2016). A review of research on electronic word-of-mouth in hospitality and tourism management. International Journal of Hospitality and Tourism Administration, 17(4), 347–372. https://doi.org/https://doi.org/10.1080/15256480.2016.1226150
- Del Bosque, I. R., & San Martin, H. (2008). Tourist satisfaction A cognitive-affective model. Annals of Tourism Research, 35(2), 551–573. https://doi.org/https://doi.org/10.1016/j.annals.2008.02.006
- Ekman, P., Friesen, W. V., & Ellsworth, P. (1982). What emotion categories or dimensions can observers judge from facial behavior? In P. Ekman (Ed.), Emotion in the human face (pp. 39–55). Cambridge University Press.
- Ene, D., & Schofield, P. (2011). An integrated approach to consumer decision making for budget city breaks: The role of emotion. International Journal of Tourism Research, 13(4), 368–383. https://doi.org/https://doi.org/10.1002/jtr.855
- Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498–506. https://doi.org/https://doi.org/10.1016/j.tourman.2015.07.018
- Filieri, R. (2016). What makes an online consumer review trustworthy? Annals of Tourism Research, 58, 46–64. https://doi.org/https://doi.org/10.1016/j.annals.2015.12.019
- Filieri, R., & McLeay, F. (2014). e-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research, 53(1), 44–57. https://doi.org/https://doi.org/10.1177/0047287513481274
- Fishman, J. (2015, December 31). TripAdvisor names city of Gatlinburg the nation’s #1 destination on the rise. Sevier County, TN: Visit My Smokies https://www.visitmysmokies.com/blog/gatlinburg/city-of-gatlinburg-is-top-destination-on-the-rise/
- Gatlinburg Chamber of Commerce. (2016). Gatlinburg lodging research [PowerPoint slides]. Gatlinburg Chamber of Commerce.
- Geetha, M., Singha, P., & Sinha, S. (2017). Relationship between customer sentiment and online customer ratings for hotel-An empirical analysis. Tourism Management, 61, 47–54. https://doi.org/https://doi.org/10.1016/j.tourman.2016.12.022
- Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews. In P. O’Connor, et al. (Ed.), Information and communication technologies in tourism 2008 (pp. 35–46). Springer.
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning (2nd ed.). Springer.
- Havlena, W. J., & Holbrook, M. B. (1986). The varieties of consumption experience: Comparing two typologies of emotion in consumer behavior. Journal of Consumer Research, 13(3), 394–404. https://doi.org/https://doi.org/10.1086/209078
- Hermanto, D. T., Ziaurrahman, M., Bianto, M. A., & Setyanto, A. (2018). Twitter social media sentiment analysis in tourist destinations using algorithms naïve bayes classifier. Journal of Physics, 1140(1), 012037. https://doi.org/https://doi.org/10.1088/1742-6596/1140/1/012037
- Hosany, S. (2012). Appraisal determinants of tourist emotional responses. Journal of Travel Research, 5(3), 303–314. https://doi.org/https://doi.org/10.1177/0047287511410320
- Hosany, S., & Gilbert, D. (2010). Measuring tourists’ emotional experiences toward hedonic holiday destinations. Journal of Travel Research, 49(4), 513–526. https://doi.org/https://doi.org/10.1177/0047287509349267
- Hu, N., Koh, N. S., & Reddy, S. K. (2014). Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales. Decision Support Systems, 57, 42–53. https://doi.org/https://doi.org/10.1016/j.dss.2013.07.009
- Jarratt, D., Phelan, C., Wain, J., & Dale, S. (2019). Developing a sense of place toolkit: Identifying destination uniqueness. Tourism and Hospitality Research, 19(4), 408–421.
- Jurka, T. P. (2012). Sentiment: Tools for sentiment analysis [Computer software manual] (R package version 0.2). http://CRAN.R-project.org/package=sentiment.
- Kirilenko, A. P., Stepchenkova, S. O., Kim, H., & Li, X. (2018). Automated sentiment analysis in tourism: Comparison of approaches. Journal of Travel Research, 57(8), 1012–1025. https://doi.org/https://doi.org/10.1177/0047287517729757
- Kuhzady, S., & Ghasemi, V. (2019). Factors influencing customers’ satisfaction and dissatisfaction with hotels: A text-mining approach. Tourism Analysis, 24(1), 69–79. https://doi.org/https://doi.org/10.3727/108354219X15458295631972
- Lang, D. T. (2011). Rstem: Interface to Snowball implementation of Porter’s word stemming algorithm [Computer software manual] (R package version 0.4-1). http://machinelearningtext.pbworks.com/w/file/fetch/47378413/Rstem.pdf
- Lee, J., & Kyle, G. T. (2012). Recollection consistency of festival consumption emotions. Journal of Travel Research, 51(2), 178–190. https://doi.org/https://doi.org/10.1177/0047287510394197
- Liu, B. (2012). Sentiment analysis and opinion mining. Morgan & Claypool.
- Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140–151. https://doi.org/https://doi.org/10.1016/j.tourman.2014.09.020
- Lock, S. (2019 March 13). TripAdvisor-statistics & facts. Statista. https://www.statista.com/topics/3443/tripadvisor/
- Marine-Roig, E. (2017). Measuring destination image through travel reviews in search engines. Sustainability, 9(8), 1425–1442. https://doi.org/https://doi.org/10.3390/su9081425
- Martin-Fuentes, E., Mateu, C., & Fernandez, C. (2018). The more the merrier? Number of reviews versus score on TripAdvisor and Booking.com. International Journal of Hospitality & Tourism Administration, Statista. 1–14. https://doi.org/https://doi.org/10.1080/15256480.2018.1429337
- Mauri, A., & Minazzi, R. (2013). Web reviews influence on expectations and purchasing intentions of hotel potential customers. International Journal of Hospitality Management, 34, 99–107. https://doi.org/https://doi.org/10.1016/j.ijhm.2013.02.012
- Millán, A., Fanjul, M. L., & Moital, M. (2016). Segmenting the business traveler based on emotions, satisfaction and behavioral intention. Psychology & Marketing, 33(2), 82–93. https://doi.org/https://doi.org/10.1002/mar.2016.33.issue-2
- Min, K. S., Martin, D., & Jung, J. M. (2013). Designing advertising campaigns for destinations with mixed images: Using visitor campaign goal messages to motivate visitors. Journal of Business Research, 66(6), 759–764. https://doi.org/https://doi.org/10.1016/j.jbusres.2011.09.015
- Morgan, N., Pritchard, A., & Pride, R. (2011). Destination brands: Managing place reputation. Routledge.
- Munar, A. M., & Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism Management, 42, 46–54. https://doi.org/https://doi.org/10.1016/j.tourman.2014.01.012
- Munezero, M., Montero, C. S., Sutinen, E., & Pajunen, J. (2014). Are they different? Affect, feeling, emotion, sentiment, and opinion detection in text. IEEE Transactions on Affective Computing, 5(2), 101–111. https://doi.org/https://doi.org/10.1109/T-AFFC.5165369
- National Park Service. (2017). Park statistics. U.S. National Park Service. https://www.nps.gov/grsm/learn/management/statistics.htm
- Neuwirth, E. (2014). RColorBrewer: ColorBrewer palettes [Computer software manual] (R package version 1.1-2). https://CRAN.R-project.org/package=RColorBrewer.
- Oxford Economics. (2016). The global economic contribution of TripAdvisor. TripAdvisor Strategic Insights & Oxford Economics. https://mk0tainsights9mcv7wv.kinstacdn.com/wp-content/uploads/2018/09/Worldwide-Tourism-Economics-2017-compressed.pdf
- Perera, B. Y., Cruz, R. E., Albinsson, P. A., & Chaudhury, S. R. (2018). When corporate partnerships are not awesome: Leveraging corporate missteps and activist sentiment in social media. In S. A. Close (Ed.), The dark side of social media: A consumer psychology perspective (pp. 125–146). Routledge.
- Prayag, G., Hosany, S., Muskat, B., & Chiappa, G. D. (2017). Understanding the relationships between tourists’ emotional experiences, perceived overall image, satisfaction, and intention to recommend. Journal of Travel Research, 56(1), 41–54. https://doi.org/https://doi.org/10.1177/0047287515620567
- Prayag, G., Hosany, S., & Odeh, K. (2013). The role of tourists’ emotional experiences and satisfaction in understanding behavioral intentions. Journal of Destination Marketing and Management, 2(2), 118–127. https://doi.org/https://doi.org/10.1016/j.jdmm.2013.05.001
- Ravindran, S. K., & Garg, V. (2015). Mastering social media mining with R. Packt Publishing.
- Ray, D. (2018). Using R to mine and analyse popular sentiments. Pressreader.com https://www.pressreader.com/
- R Core Team (2016). R: A language and environment for statistical computing [Computer software manual]. http://www.R-project.org/
- Rodríguez-Díaz, M., Rodríguez-Díaz, R., Rodríguez-Voltes, A. C., & Rodríguez-Voltes, C. I. (2018). A model of market positioning of destinations based on online customer reviews of lodgings. Sustainability, 10(1), 78–97. https://doi.org/https://doi.org/10.3390/su10010078
- Schaal, D. (2011, November 22). Expedia readies TripAdvisor spinoff citing hotel review reliability. tnooz.com https://www.phocuswire.com/Expedia-readies-TripAdvisor-spinoff-citing-hotel-review-reliability
- Schuckert, M., Liu, X., & Law, R. (2015). Hospitality and tourism online reviews: Recent trends and future directions. Journal of Travel & Tourism Marketing, 32(5), 608–621. https://doi.org/https://doi.org/10.1080/10548408.2014.933154
- Strapparava, C., & Valitutti, A. (2004). WordNet-affect: An affective extension of WordNet. Proceedings of the 4th International Conference on language resources and evaluation (pp.1083–1086). Lisbon.
- Tinsley, R., & Lynch, P. A. (2008). Differentiation and tourism destination development: Small business success in a close-knit community. Tourism and Hospitality Research, 8(3), 161–177. https://doi.org/https://doi.org/10.1057/thr.2008.26
- TripAdvisor. (2016, September 1). 24 beautiful little mountain towns across America. TripAdvisor.com https://wwwtripadvisorcom/VacationRentalsBlog/2016/09/01/beautiful-little-mountain-towns-across-america/
- Valdivia, A., Luzón, M. V., & Herrera, F. (2017). Sentiment analysis in TripAdvisor. IEEE Intelligent Systems, 32(4), 72–77. https://doi.org/https://doi.org/10.1109/MIS.2017.3121555
- Weidenfeld, A., Williams, A. M., & Butler, R. W. (2014). Spatial competition and agglomeration in the visitor attraction sector. The Service Industries Journal, 34(3), 175–195. https://doi.org/https://doi.org/10.1080/02642069.2013.778251
- Wickham, H. (2009). ggplot2: Elegant graphics for data analysis (Use R!). Springer.
- Wickham, H. (2010). stringr: Modern, consistent string processing. The R Journal., 2(2), 3–28. https://doi.org/https://doi.org/10.32614/RJ-2010-012
- Wickham, H. (2016). plyr: Tools for splitting, applying and combining data [Computer software manual] (R package version 1.8.4). http://had.co.nz/plyr
- Wiebe, J. M. (2000). Learning subjective adjectives from corpora. Proceedings of the 17th National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press.
- Wolff, E. (2019, February 22). Great Smoky Mountains National Park breaks record number of visitors. Sevier County, TN: Visit My Smokies. https://www.visitmysmokies.com/blog/smoky-mountains/great-smoky-mountains-national-park-visitors-record/
- Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65. https://doi.org/https://doi.org/10.1016/j.tourman.2016.10.001
- Zhou, B., Qu, H., & Li, N. (2016). How tourist attraction agglomeration affects a regional tourism economy. Tourism Analysis, 21(6), 603–616. https://doi.org/https://doi.org/10.3727/108354216X14713487283129