This work is licensed under the Creative Commons Attribution 4.0 International License.
Ahuja, R., Chug, A., Kohli, S., Gupta, S., & Ahuja, P. (2019). The Impact of Features Extraction on the Sentiment Analysis. Procedia Computer Science, 152(2019), 341–348. https://doi.org/10.1016/j. procs.2019.05.008AhujaR.ChugA.KohliS.GuptaS.AhujaP. (2019). The Impact of Features Extraction on the Sentiment Analysis. Procedia Computer Science, 152(2019), 341–348. https://doi.org/10.1016/j.procs.2019.05.008Search in Google Scholar
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/10.1177/0047287517747753AlaeiA. R.BeckenS.StanticB. (2019). Sentiment Analysis in Tourism: Capitalizing on big data. Journal of Travel Research, 58(2), 175–191. https://doi.org/10.1177/0047287517747753Search in Google Scholar
Álvarez-Carmona, M. Á., Aranda, R., Arce-Cardenas, S., Fajardo-Delgado, D., Guerrero-Rodríguez, R., López-Monroy, A. P., Martínez-Miranda, J., Pérez-Espinosa, H., & Rodríguez-González, A. Y. (2021). Overview of Rest-Mex at Eberle 2021: Recommendation System for Text Mexican Tourism. Sociedad Española para el Procesamiento del Lenguaje Natural, 67(2021), 163–172. https://doi.org/10.26342/2021-67-14Álvarez-CarmonaM. Á.ArandaR.Arce-CardenasS.Fajardo-DelgadoD.Guerrero-RodríguezR.López-MonroyA. P.Martínez-MirandaJ.Pérez-EspinosaH.Rodríguez-GonzálezA. Y. (2021). Overview of Rest-Mex at Eberle 2021: Recommendation System for Text Mexican Tourism. Sociedad Española para el Procesamiento del Lenguaje Natural, 67(2021), 163–172. https://doi.org/10.26342/2021-67-14Search in Google Scholar
Amplayo, R. K., & Song, M. (2017). An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews. Data & Knowledge Engineering, 110(2017), 54–67. https://doi. org/10.1016/j.datak.2017.03.009AmplayoR. K.SongM. (2017). An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews. Data & Knowledge Engineering, 110(2017), 54–67. https://doi.org/10.1016/j.datak.2017.03.009Search in Google Scholar
An, Q., Ma, Y., Du, Q., Xiang, Z., & Fan, W. (2020). Role of user-generated photos in online hotel reviews: An analytical approach. Journal of Hospitality and Tourism Management, 45(2020), 633–640. https://doi.org/10.1016/j.jhtm.2020.11.002AnQ.MaY.DuQ.XiangZ.FanW. (2020). Role of user-generated photos in online hotel reviews: An analytical approach. Journal of Hospitality and Tourism Management, 45(2020), 633–640. https://doi.org/10.1016/j.jhtm.2020.11.002Search in Google Scholar
Bagherzadeh, S., Shokouhyar, S., Jahani, H., & Sigala, M. (2021). A generalizable sentiment analysis method for creating a hotel dictionary: Using big data on TripAdvisor hotel reviews. Journal of Hospitality and Tourism Technology, 12(2), 210–238. https://doi.org/10.1108/JHTT-02-2020-0034BagherzadehS.ShokouhyarS.JahaniH.SigalaM. (2021). A generalizable sentiment analysis method for creating a hotel dictionary: Using big data on TripAdvisor hotel reviews. Journal of Hospitality and Tourism Technology, 12(2), 210–238. https://doi.org/10.1108/JHTT-02-2020-0034Search in Google Scholar
Bizirgianni, I., & Dionysopoulou, P. (2013). The Influence of Tourist Trends of Youth Tourism through Social Media (SM) & Information and Communication Technologies (ICTs). Procedia-Social and Behavioral Sciences, 73(2013), 652–660. https://doi.org/10.1016/j.sbspro.2013.02.102BizirgianniI.DionysopoulouP. (2013). The Influence of Tourist Trends of Youth Tourism through Social Media (SM) & Information and Communication Technologies (ICTs). Procedia-Social and Behavioral Sciences, 73(2013), 652–660. https://doi.org/10.1016/j.sbspro.2013.02.102Search in Google Scholar
Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017). Enriching Word Vectors with Subword Information. Transactions of the association for computational linguistics, 5(2017), 135–146. https://doi.org/10.1162/tacl_a_00051BojanowskiP.GraveE.JoulinA.MikolovT. (2017). Enriching Word Vectors with Subword Information. Transactions of the association for computational linguistics, 5(2017), 135–146. https://doi.org/10.1162/tacl_a_00051Search in Google Scholar
Calheiros, A. C., Moro, S., & Rita, P. (2017). Sentiment Classification of Consumer-Generated Online Reviews Using Topic Modeling. Journal of Hospitality Marketing & Management, 26(7), 675–693. https://doi.org/10.1080/19368623.201 7.1310075CalheirosA. C.MoroS.RitaP. (2017). Sentiment Classification of Consumer-Generated Online Reviews Using Topic Modeling. Journal of Hospitality Marketing & Management, 26(7), 675–693. https://doi.org/10.1080/19368623.2017.1310075Search in Google Scholar
Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). New Avenues in Opinion Mining and Sentiment Analysis. IEEE Intelligent Systems, 28(2), 15–21. http://doi.org/10.1109/MIS.2013.30CambriaE.SchullerB.XiaY.HavasiC. (2013). New Avenues in Opinion Mining and Sentiment Analysis. IEEE Intelligent Systems, 28(2), 15–21. http://doi.org/10.1109/MIS.2013.30Search in Google Scholar
Casaló, L. V., Flavián, C., Guinalíu, M., & Ekinci, Y. (2015). Avoiding the dark side of positive online consumer reviews: Enhancing reviews’ usefulness for high risk-averse travelers. Journal of Business Research, 68(9), 1829–1835. http://doi.org/10.1016/j.jbusres.2015.01.010CasalóL. V.FlaviánC.GuinalíuM.EkinciY. (2015). Avoiding the dark side of positive online consumer reviews: Enhancing reviews’ usefulness for high risk-averse travelers. Journal of Business Research, 68(9), 1829–1835. http://doi.org/10.1016/j.jbusres.2015.01.010Search in Google Scholar
Chen, C.-W. (2017). Five-star or thumbsup? The influence of rating system types on users’ perceptions of information quality, cognitive effort, enjoyment and continuance intention. Internet Research, 27(3), 478–494. https://doi.org/10.1108/IntR-08-2016-0243ChenC.-W. (2017). Five-star or thumbsup? The influence of rating system types on users’ perceptions of information quality, cognitive effort, enjoyment and continuance intention. Internet Research, 27(3), 478–494. https://doi.org/10.1108/IntR-08-2016-0243Search in Google Scholar
Chen, W., Xu, Z., Zheng, X., Yu, Q., & Luo, Y. (2020). Research on sentiment classification of online travel review text. Applied Sciences, 10(15), 1–21. https://doi.org/10.3390/app10155275ChenW.XuZ.ZhengX.YuQ.LuoY. (2020). Research on sentiment classification of online travel review text. Applied Sciences, 10(15), 1–21. https://doi.org/10.3390/app10155275Search in Google Scholar
Da Mota, V. T., & Pickering, C. (2020). Using social media to assess nature-based tourism: Current research and future trends. Journal of Outdoor Recreation and Tourism, 30(2020), 1–11. https://doi.org/1016/j.jort.2020.100295Da MotaV. T.PickeringC. (2020). Using social media to assess nature-based tourism: Current research and future trends. Journal of Outdoor Recreation and Tourism, 30(2020), 1–11. https://doi.org/1016/j.jort.2020.100295Search in Google Scholar
Fan, W., Wallace, L., Rich, S. & Zhang, Z. (2006). Tapping the power of text mining. Communications of the ACM, 49(9), 76–82. https://doi.org/10.1145/1151030.1151032FanW.WallaceL.RichS.ZhangZ. (2006). Tapping the power of text mining. Communications of the ACM, 49(9), 76–82. https://doi.org/10.1145/1151030.1151032Search in Google Scholar
Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51(2015), 174–185. http://dx.doi.org/10.1016/j.tourman.2015.05.007FilieriR.AlguezauiS.McLeayF. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51(2015), 174–185. http://dx.doi.org/10.1016/j.tourman.2015.05.007Search in Google Scholar
Fitchett, J. M., & Hoogendoorn, G. (2019). Exploring the climate sensitivity of tourists to South Africa through TripAdvisor reviews. South African Geographical Journal, 101(1), 91–109. https://doi.org/10.1080/03736245.2018.1541022FitchettJ. M.HoogendoornG. (2019). Exploring the climate sensitivity of tourists to South Africa through TripAdvisor reviews. South African Geographical Journal, 101(1), 91–109. https://doi.org/10.1080/03736245.2018.1541022Search in Google Scholar
Ganzaroli, A., De Noni, I., & van Baalen, P. (2017). Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice. Tourism Management, 61(2017), 501–510. http://dx.doi.org/10.1016/j.tourman.2017.03.019GanzaroliA.De NoniI.van BaalenP. (2017). Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice. Tourism Management, 61(2017), 501–510. http://dx.doi.org/10.1016/j.tourman.2017.03.019Search in Google Scholar
Garreta, R., Moncecchi, G., Hauck, T., & Hackeling, G. (2017). scikit-learn: Machine Learning Simplified: Implement scikit-learn into every step of the data science pipeline. Packt PublishingGarretaR.MoncecchiG.HauckT.HackelingG. (2017). scikit-learn: Machine Learning Simplified: Implement scikit-learn into every step of the data science pipeline. Packt PublishingSearch in Google Scholar
Gour, A., Aggarwal, S., & Erdem, M. (2021). Reading between the lines: analyzing online reviews by using a multi-method Web-analytics approach. International Journal of Contemporary Hospitality Management, 33(2), 490–512. https://doi.org/10.1108/IJCHM-07-2020-0760GourA.AggarwalS.ErdemM. (2021). Reading between the lines: analyzing online reviews by using a multi-method Web-analytics approach. International Journal of Contemporary Hospitality Management, 33(2), 490–512. https://doi.org/10.1108/IJCHM-07-2020-0760Search in Google Scholar
Israeli, A. A. (2002). Star rating and corporate affiliation: their influence on room price and performance of hotels in Israel. International Journal of Hospitality Management, 21(4), 405–424. https://doi.org/10.1016/S0278-4319(02)00037-3IsraeliA. A. (2002). Star rating and corporate affiliation: their influence on room price and performance of hotels in Israel. International Journal of Hospitality Management, 21(4), 405–424. https://doi.org/10.1016/S0278-4319(02)00037-3Search in Google Scholar
Jahanbin, K., & Chahooki, M. A. Z. (2023). Database of Twitter Influencers in Cryptocurrency (2021-2023) with Sentiments. https://doi.org/10.21203/rs.3.rs-3192598/v1JahanbinK.ChahookiM. A. Z. (2023). Database of Twitter Influencers in Cryptocurrency (2021-2023) with Sentiments. https://doi.org/10.21203/rs.3.rs-3192598/v1Search in Google Scholar
Jianqiang, Z., & Xiaolin, G. (2017). Comparison Research on Text Pre-processing Methods on Twitter Sentiment Analysis. IEEE Access, 5(2017), 2870–2879. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862202JianqiangZ.XiaolinG. (2017). Comparison Research on Text Pre-processing Methods on Twitter Sentiment Analysis. IEEE Access, 5(2017), 2870–2879. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862202Search in Google Scholar
Kontogianni, A., & Alepis, E. (2020). Smart tourism: State of the art and literature review for the last six years. Array, 6(2020), 1–14. https://doi.org/10.1016/j.array.2020.100020KontogianniA.AlepisE. (2020). Smart tourism: State of the art and literature review for the last six years. Array, 6(2020), 1–14. https://doi.org/10.1016/j.array.2020.100020Search in Google Scholar
Leung, R., Rong, J., Li, G., & Law, R. (2013). Personality Differences and Hotel Web Design Study Using Targeted Positive and Negative Association Rule Mining. Journal of Hospitality Marketing & Management, 22(7), 701–727. http://doi.org/10.10 80/19368623.2013.723995LeungR.RongJ.LiG.LawR. (2013). Personality Differences and Hotel Web Design Study Using Targeted Positive and Negative Association Rule Mining. Journal of Hospitality Marketing & Management, 22(7), 701–727. http://doi.org/10.1080/19368623.2013.723995Search in Google Scholar
Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2018). Big data in tourism research: A literature review. Tourism Management, 68(2018), 301–323. https://doi.org/10.1016/j.tourman.2018.03.009LiJ.XuL.TangL.WangS.LiL. (2018). Big data in tourism research: A literature review. Tourism Management, 68(2018), 301–323. https://doi.org/10.1016/j.tourman.2018.03.009Search in Google Scholar
Maier, T. A., & Prusty, S. (2016). Managing Customer Retention in Private Clubs Using Churn Analysis: Some Empirical Findings. Journal of Hospitality Marketing & Management, 25(7), 797–819. http://doi.org/10.1080/19368623.2016.1113904MaierT. A.PrustyS. (2016). Managing Customer Retention in Private Clubs Using Churn Analysis: Some Empirical Findings. Journal of Hospitality Marketing & Management, 25(7), 797–819. http://doi.org/10.1080/19368623.2016.1113904Search in Google Scholar
Mariani, M. M., & Borghi, M. (2018). Effects of the Booking. com rating system: Bringing hotel class into the picture. Tourism Management, 66(2018), 47–52. https://doi.org/10.1016/j.tour-man.2017.11.006MarianiM. M.BorghiM. (2018). Effects of the Booking. com rating system: Bringing hotel class into the picture. Tourism Management, 66(2018), 47–52. https://doi.org/10.1016/j.tour-man.2017.11.006Search in Google Scholar
Mirzaalian, F., & Halpenny, E. (2021). Exploring destination loyalty: Application of social media analytics in a nature-based tourism setting. Journal of Destination Marketing & Management, 20(2021), 1-15.https://doi.org/10.1016/j.jdmm.2021.100598MirzaalianF.HalpennyE. (2021). Exploring destination loyalty: Application of social media analytics in a nature-based tourism setting. Journal of Destination Marketing & Management, 20(2021), 1–15. https://doi.org/10.1016/j.jdmm.2021.100598Search in Google Scholar
Moro, S., & Rita, P. (2016). Forecasting tomorrow’s tourist. Worldwide Hospitality and Tourism Themes, 8(6), 643–653. http://doi.org/10.1108/WHATT-09-2016-0046MoroS.RitaP. (2016). Forecasting tomorrow’s tourist. Worldwide Hospitality and Tourism Themes, 8(6), 643–653. http://doi.org/10.1108/WHATT-09-2016-0046Search in Google Scholar
Mucharreira, P. R., Antunes, M. G., Abranja, N., Justino, M. R. T., & Quirós, J. T. (2019). The relevance of tourism in financial sustainability of hotels. European Research on Management and Business Economics, 25(3), 165–174. https://doi.org/10.1016/j.iedeen.2019.07.002MucharreiraP. R.AntunesM. G.AbranjaN.JustinoM. R. T.QuirósJ. T. (2019). The relevance of tourism in financial sustainability of hotels. European Research on Management and Business Economics, 25(3), 165–174. https://doi.org/10.1016/j.iedeen.2019.07.002Search in Google Scholar
Nallakaruppan, M. K., Srivastava, G., Gadekallu, T. R., Reddy, P. K., Krishnan, S., & Polap, D. (2023). Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning. In L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing (pp. 560–569). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42505-9_47NallakaruppanM. K.SrivastavaG.GadekalluT. R.ReddyP. K.KrishnanS.PolapD. (2023). Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning. In RutkowskiL.SchererR.KorytkowskiM.PedryczW.TadeusiewiczR.ZuradaJ. M. (Eds.), Artificial Intelligence and Soft Computing (pp. 560–569). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42505-9_47Search in Google Scholar
Nie, R.-X., Tian, Z.-P., Wang, J.-Q., & Chin, K. S. (2020). Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory. International Journal of Hospitality Management, 88(2020), 1–16. https://doi.org/10.1016/j.ijhm.2020.102495NieR.-X.TianZ.-P.WangJ.-Q.ChinK. S. (2020). Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory. International Journal of Hospitality Management, 88(2020), 1–16. https://doi.org/10.1016/j.ijhm.2020.102495Search in Google Scholar
Nowacki, M., & Niezgoda, A. (2020). Identifying unique features of the image of selected cities based on reviews by TripAdvisor portal users. Scandinavian Journal of Hospitality and Tourism, 20(5), 503–519. https://doi.org/10.1080/15022250.2020.1833362NowackiM.NiezgodaA. (2020). Identifying unique features of the image of selected cities based on reviews by TripAdvisor portal users. Scandinavian Journal of Hospitality and Tourism, 20(5), 503–519. https://doi.org/10.1080/15022250.2020.1833362Search in Google Scholar
Rachman, F. F., & Pramana, S. (2020). Analisis Sentimen Pro dan Kontra Masyarakat Indonesia tentang vaksin COVID-19 pada Media Sosial Twitter [Sentiment analysis of the pros and cons of the Indonesian people about the COVID-19 vaccine on social media Twitter]. Indonesian of Health Information Management Journal, 8(2), 100–109.RachmanF. F.PramanaS. (2020). Analisis Sentimen Pro dan Kontra Masyarakat Indonesia tentang vaksin COVID-19 pada Media Sosial Twitter [Sentiment analysis of the pros and cons of the Indonesian people about the COVID-19 vaccine on social media Twitter]. Indonesian of Health Information Management Journal, 8(2), 100–109.Search in Google Scholar
Ramos, C. M. Q. (2022). Business Intelligence Approach and Sentiment Analysis as a Management Strategy Applied to Study Customer Satisfaction in the Hospitality Sector. In J. V. D. Carvalho, P. Liberato, & A. Peña (Eds.), Advances in Tourism, Technology and Systems (pp. 537–547). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-9701-2_44RamosC. M. Q. (2022). Business Intelligence Approach and Sentiment Analysis as a Management Strategy Applied to Study Customer Satisfaction in the Hospitality Sector. In CarvalhoJ. V. D.LiberatoP.PeñaA. (Eds.), Advances in Tourism, Technology and Systems (pp. 537–547). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-9701-2_44Search in Google Scholar
Ray, B., Garain, A., & Sarkar, R. (2021). An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews. Applied Soft Computing, 98(2021), 1–18. https://doi.org/10.1016/j.asoc.2020.106935RayB.GarainA.SarkarR. (2021). An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews. Applied Soft Computing, 98(2021), 1–18. https://doi.org/10.1016/j.asoc.2020.106935Search in Google Scholar
Rita, P., Ramos, R., Borges-Tiago, M. T., & Rodrigues, D. (2022). Impact of the rating system on sentiment and tone of voice: A Booking. com and TripAdvisor comparison study. International Journal of Hospitality Management, 104(2022), 1–12. https://doi.org/10.1016/j.ijhm.2022.103245RitaP.RamosR.Borges-TiagoM. T.RodriguesD. (2022). Impact of the rating system on sentiment and tone of voice: A Booking. com and TripAdvisor comparison study. International Journal of Hospitality Management, 104(2022), 1–12. https://doi.org/10.1016/j.ijhm.2022.103245Search in Google Scholar
Sari, A. W., Hermanto, T. I., & Defriani, M. (2023). Sentiment Analysis Of Tourist Reviews Using K-Nearest Neighbors Algorithm And Support Vector Machine. Sinkron: Jurnal Dan Penelitian Teknik Informatika, 7(3), 1366–1378. https://doi.org/10.33395/sinkron.v8i3.12447SariA. W.HermantoT. I.DefrianiM. (2023). Sentiment Analysis Of Tourist Reviews Using K-Nearest Neighbors Algorithm And Support Vector Machine. Sinkron: Jurnal Dan Penelitian Teknik Informatika, 7(3), 1366–1378. https://doi.org/10.33395/sinkron.v8i3.12447Search in Google Scholar
Scalabrini, E., Ferreira, J., Zekan, S. B., & Fernandes, P. O. (2023). Destination Image Through TripAdvisor s Reviews Analysis. In N. Martins & D. Raposo (Eds.), Communication Design and Branding: A Multidisciplinary Approach (pp. 205–221). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35385-7_12ScalabriniE.FerreiraJ.ZekanS. B.FernandesP. O. (2023). Destination Image Through TripAdvisor s Reviews Analysis. In MartinsN.RaposoD. (Eds.), Communication Design and Branding: A Multidisciplinary Approach (pp. 205–221). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35385-7_12Search in Google Scholar
Sharda, R., Delen, D., & Turban, E. (2017). Business intelligence, analytics, and data science: a managerial perspective. PearsonShardaR.DelenD.TurbanE. (2017). Business intelligence, analytics, and data science: a managerial perspective. PearsonSearch in Google Scholar
Soh, C. W. (2022). Sentiment Analysis and Fake News on social media [Doctoral dissertation, Tunku Abdul Rahman University College]. TAR UMT Institutional Repository. https://eprints.tarc.edu.my/id/eprint/22468SohC. W. (2022). Sentiment Analysis and Fake News on social media [Doctoral dissertation, Tunku Abdul Rahman University College]. TAR UMT Institutional Repository. https://eprints.tarc.edu. my/id/eprint/22468Search in Google Scholar
Spalding, M., & Parrett, C. L. (2019). Global patterns in mangrove recreation and tourism. Marine Policy, 110(2019), 1–8. https://doi.org/10.1016/j. marpol.2019.103540SpaldingM.ParrettC. L. (2019). Global patterns in mangrove recreation and tourism. Marine Policy, 110(2019), 1–8. https://doi.org/10.1016/j.marpol.2019.103540Search in Google Scholar
Srivastava, A. N., & Sahami, M. (2009). Text Mining: Classification, Clustering, and Applications. CRC PressSrivastavaA. N.SahamiM. (2009). Text Mining: Classification, Clustering, and Applications. CRC PressSearch in Google Scholar
Steven, C., & Wella, W. (2020). The Right Sentiment Analysis Method of Indonesian Tourism in Social Media Twitter. International Journal of New Media Technology, 7(2), 102–110. https://doi.org/10.31937/ijnmt.v7i2.1732StevenC.WellaW. (2020). The Right Sentiment Analysis Method of Indonesian Tourism in Social Media Twitter. International Journal of New Media Technology, 7(2), 102–110. https://doi.org/10.31937/ijnmt.v7i2.1732Search in Google Scholar
Taecharungroj, V., & Mathayomchan, B. (2019). Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand. Tourism Management, 75(2019), 550–568. https://doi.org/10.1016/j.tourman.2019.06.020TaecharungrojV.MathayomchanB. (2019). Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand. Tourism Management, 75(2019), 550–568. https://doi.org/10.1016/j.tourman.2019.06.020Search in Google Scholar
Tsai, C.-F., Chen, K., Hu, Y.-H., & Chen, W.-K. (2020). Improving text summarization of online hotel reviews with review helpfulness and sentiment. Tourism Management, 80(2020), 1–13. https://doi.org/10.1016/j.tourman.2020.104122TsaiC.-F.ChenK.HuY.-H.ChenW.-K. (2020). Improving text summarization of online hotel reviews with review helpfulness and sentiment. Tourism Management, 80(2020), 1–13. https://doi.org/10.1016/j.tourman.2020.104122Search in Google Scholar
Valdivia, A., Hrabova, E., Chaturvedi, I., Luzón, M. V., Troiano, L., Cambria, E., & Herrera, F. (2019). Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. Neurocomputing, 353(2019), 3–16. https://doi.org/10.1016/j.neucom.2018.09.096ValdiviaA.HrabovaE.ChaturvediI.LuzónM. V.TroianoL.CambriaE.HerreraF. (2019). Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. Neurocomputing, 353(2019), 3–16. https://doi.org/10.1016/j.neucom.2018.09.096Search in Google Scholar
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2018). Assessing reliability of social media data: Lessons from mining TripAdvisor hotel reviews. Information Technology & Tourism, 18(1), 43–59.XiangZ.DuQ.MaY.FanW. (2018). Assessing reliability of social media data: Lessons from mining TripAdvisor hotel reviews. Information Technology & Tourism, 18(1), 43–59.Search in Google Scholar
Yao, J. (2019). Automated Sentiment Analysis of Text Data with NLTK. Journal of Physics: Conference Series, 1187(5), 052020. https://iopscience.iop.org/article/10.1088/1742-6596/1187/5/052020/metaYaoJ. (2019). Automated Sentiment Analysis of Text Data with NLTK. Journal of Physics: Conference Series, 1187(5), 052020. https://iopscience.iop.org/article/10.1088/1742-6596/1187/5/052020/metaSearch in Google Scholar
Zhu, J. J., Chang, Y.-C., Ku, C.-H., Li, S. Y., & Chen, C.-J. (2021). Online critical review classification in response strategy and service provider rating: Algorithms from heuristic processing, sentiment analysis to deep learning. Journal of Business Research, 129(2021), 860–877. https://doi. org/10.1016/j.jbusres.2020.11.007ZhuJ. J.ChangY.-C.KuC.-H.LiS. Y.ChenC.-J. (2021). Online critical review classification in response strategy and service provider rating: Algorithms from heuristic processing, sentiment analysis to deep learning. Journal of Business Research, 129(2021), 860–877. https://doi.org/10.1016/j.jbusres.2020.11.007Search in Google Scholar