Sentiment Analysis Using Text Mining of Indonesia Tourism Reviews via Social Media

Volume 5, Issue 2
Dini Turipanam Alamanda, Abdullah Ramdhani, Ikeu Kania, Wati Susilawati, Egi Septian Hadi
Published online: 26 April 2019
Abstract
The Indonesian tourism industry continues to develop and has become the core of the nation’ economy. Indonesia is known for its wealth of natural beauty, which can be used as a potential for tourism business. Garut is a city in Indonesia known for its beach, mountains, and culinary arts. The purpose of this study is to create a priority map of tourist attractions that can be utilized by local governments. Sentiment analysis was used 413,175 netizen comments via the social media platforms Instagram and Google reviews. Data was collected from January 2018-February 2019. The results show that the number of positive comments is significantly higher than the number of negative comments. Beach tourism a serious priority; not only is it the most preferred tourist attraction, but also the type that gets the most negative comments. While the main problem for Garut Regency tourism is hygiene, garbage is either overlapping or scattered, preventing Garut from having all-around tourism charm instead of being superior only in the sector of natural beauty. The suggestions in this research can be used as proposals for improving and developing tourism to realize a dignified ‘Garut Charm’.
Reference
- Alamanda, D. T., Ramdhani, A., Hamdani, N. A., Kania, I., & Prabowo, F. S. A. (2018). Necromancy marketing: Reviving local wisdom as the cornerstone of Indonesian tourism. In Airlangga International Conference on Economics and Business, Surabaya, Indonesia.
- Aswani, R., Kar, A. K., Ilavarasan, P. V., & Dwivedi, Y. K. (2018). Search engine marketing is not all gold: Insights from Twitter and SEOClerks. International Journal of Information Management, 38(1), 107–116. doi:https://doi.org/10.1016/j.ijinfomgt.2017.07.005
- Bariscil, A. (2017). Some aspects of the competitiveness of Turkish regions and their tourism industry the example of Ardahan. Journal of Advances in Humanities and Social Sciences, 3(6), 311-323. doi:https://doi.org/10.20474/jahss-3.6.3
- Buhalis, D., & Foerste, M. (2015). Socomo marketing for travel and tourism: Empowering co-creation of value. Journal of Destination Marketing & Management, 4(3), 151–161. doi:https://doi.org/10.1016/j.jdmm.2015.04.001
- Casado-Díaz, A. B., Andreu, L., Beckmann, S. C., & Miller, C. (2018). Negative online reviews and webcare strategies in social media: Effects on hotel attitude and booking intentions. Current Issues in Tourism, 1–5. doi:https://doi.org/10.1080/13683500.2018.1546675
- Chang, T. C., Wu, S. F., Hsu, S. C., & Yang, C. C. (2017). A study of the tourism industry in East Taiwan. Journal of Advanced Research in Social Sciences and Humanities, 2(1), 61-66. doi:https://doi.org/10.26500/jarssh-02-2017-0108
- Cohen, S. A., Prayag, G., & Moital, M. (2014). Consumer behaviour in tourism: Concepts, influences and opportunities. Current Issues in Tourism, 17(10), 872–909. doi:https://doi.org/10.1080/13683500.2013.850064
- Cui, Y., Meng, C., He, Q., & Gao, J. (2018). Forecasting current and next trip purpose with social media data and google places. Transportation Research Part C: Emerging Technologies, 97, 159–174. doi:https://doi.org/10.1016/j.trc.2018.10.017
- Fatanti, M. N., & Suyadnya, I. W. (2015). Beyond user gaze: How instagram creates tourism destination brand? Procedia-Social and Behavioral Sciences, 211, 1089–1095. doi:https://doi.org/10.1016/j.sbspro.2015.11.145
- Gaspar, R., Pedro, C., Panagiotopoulos, P., & Seibt, B. (2016). Beyond positive or negative: Qualitative sentiment analysis of social media reactions to unexpected stressful events. Computers in Human Behavior, 56, 179–191. doi:https://doi.org/10.1016/j.chb.2015.11.040
- Iqbal, S., Zulqurnain, A., Wani, Y., & Hussain, K. (2015). The survey of sentiment and opinion mining for behavior analysis of social media. International Journal of Computer Science & Engineering Survey, 6(5), 21-27.doi:https://doi.org/10.5121/ijcses.2015.6502
- Jalilvand, M. R. (2017). Word-of-mouth vs. mass media: Their contributions to destination image formation. Anatolia, 28(2), 151–162. doi:https://doi.org/10.1080/13032917.2016.1270840
- Jeuring, J. H. (2016). Discursive contradictions in regional tourism marketing strategies: The case of Fryslân, the Netherlands. Journal of Destination Marketing & Management, 5(2), 65–75. doi:https://doi.org/10.1016/j.jdmm.2015.06.002
- Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on youtube? Computers in Human Behavior, 66, 236–247. doi:https://doi.org/10.1016/j.chb.2016.09.024
- Kotler, P., Kartajaya, H., & Setiawan, I. (2017). Marketing 4.0: Moving from traditional to digital. New Jersey, NJ: John Wiley & Sons, Inc.
- Kotoua, S., & Ilkan, M. (2017). Tourism destination marketing and information technology in Ghana. Journal of destination marketing & management, 6(2), 127–135. doi:https://doi.org/10.1016/j.jdmm.2017.04.007
- Li, Q., Huang, Z. J., & Christianson, K. (2016). Visual attention toward tourism photographs with text: An eye-tracking study. Tourism Management, 54, 243–258. doi:https://doi.org/10.1016/j.tourman.2015.11.017
- Magno, F., & Cassia, F. (2018). The impact of social media influencers in tourism. Anatolia, 29(2), 288–290. doi:https://doi.org/10.1080/13032917.2018.1476981
- Mäntylä, M. V., Graziotin, D., & Kuutila, M. (2018). The evolution of sentiment analysis—a review of research topics, venues, and top cited papers. Computer Science Review, 27, 16–32. doi:https://doi.org/10.1016/j.cosrev.2017.10.002
- Medhat, W., Hassan, A., & Korashy, H. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal, 5(4), 1093–1113. doi:https://doi.org/10.1016/j.asej.2014.04.011
- Moutinho, L. (1987). Consumer behaviour in tourism. European Journal of Marketing, 21(10), 5–44. doi:https://doi.org/10.1108/EUM0000000004718
- Nair, B. B. (2017). The politics of tourism representations: Discourse analysis of British travel, brochures about incredible India. Journal of Advanced Research in Social Sciences and Humanities, 2(4), 230-236. doi:https://doi.org/10.26500/jarssh-02-2017-0401
- Neri, F., Aliprandi, C., Capeci, F., Cuadros, M., & By, T. (2012). Sentiment analysis on social media. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Istanbul, Turkey (pp. 919–926).
- Panasiuk, A. (2007). Tourism infrastructure as a determinant of regional development. Ekonomika Ir Vadyba: Aktualijos Ir Perspektyvos, 1(8), 212–215.
- Pavesi, A., Gartner, W., & Denizci-Guillet, B. (2016). The effects of a negative travel experience on tourists’ decisional behavior. International Journal of Tourism Research, 18(5), 423–433. doi:https://doi.org/10.1002/jtr.2060
- Petriana, B. (2017). The perceived destination image of Indonesia: An assessment on travel blogs written by the industry’s top markets. Wellington, New Zealand: Victoria University of Wellington.
- Phillips, P., Barnes, S., Zigan, K., & Schegg, R. (2017). Understanding the impact of online reviews on hotel performance: An empirical analysis. Journal of Travel Research, 56(2), 235–249. doi:https://doi.org/10.1177/0047287516636481
- Putranto, W. A., & Fajry, A. N. (2018). Content marketing strategies via instagram for indonesian libraries. In 84th IFLA General Conference and Assembly, Kuala Lumpur, Malaysia.
- Rebollo, H. P. M. (2018). A structural model of millennial tourist behavior towards tourism in Davao Region. Journal of Advances in Humanities and Social Sciences, 4(1), 26-36. doi:https://doi.org/10.20474/jahss-4.1.3
- Rindrasih, E. (2018). Tourist’s perceived risk and image of the destinations prone to natural disasters: The case of Bali and Yogyakarta, Indonesia. Humaniora, 30(2), 192–203. doi:https://doi.org/10.22146/jh.v30i2.32239
- 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. doi:https://doi.org/10.1080/10548408.2014.933154
- Shuqair, S., & Cragg, P. (2017). The immediate impact of instagram posts on changing the viewers’ perceptions towards travel destinations. In 1st International Conference on Advanced Research (ICAR- 2017), Manama, Bahrain.
- Silva, H. M. S. V.,& Madushani, R. A. I. (2017). The impact of human resource competencies of front line employeeson tourist arrivals of unclassified hotels in Western Province, Sri Lanka. Journal of Advanced Research in Social Sciences and Humanities, 2(1), 9-16. doi:https://doi.org/10.26500/jarssh-02-2017-0102
- Sulthana, A. R., Jaithunbi,A., & Ramesh, L. S. (2018). Sentiment analysis in twitter data using data analytic techniques for predictive modelling. In National Conference on Mathematical Techniques and its Applications (NCMTA 18), Tamil Nadu, India. doi:https://doi.org/10.1088/1742-6596/1000/1/011001
- Tamrakar, C., Pyo,T.-H., & Gruca, T. (2018). Social media sentiment and firm value. Retrieved from https://bit.ly/32oF6Pl
- Tartir, S., & Abdul-Nabi, I.(2017). Semantic sentiment analysis in Arabic social media. Journal of King Saud University- Computer and Information Sciences, 29(2), 229–233. doi:https://doi.org/10.1016/j.jksuci.2016.11.011
- Yang, S. Y., & Mo, S.(2016). Social media and news sentiment analysis for advanced investment strategies. In P. Witold & S. Chen (Eds.), Sentiment analysis and ontology engineering. New York, NY: Springer.
To Cite this article
Alamanda, D. T., Ramdhani, A., Kania, I., Susilawati, W., & Hadi, E. S. (2019). Sentiment analysis using text mining of Indonesia tourism reviews via social media. International Journal of Humanities, Arts and Social Sciences, 5(2), 72-82 doi: https://dx.doi.org/10.20469/ijhss.5.10004-2
|