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From reviews to emotions: Analysing Bragança’s tourism attractions on TripAdvisor

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Dec 31, 2024

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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.2019.05.008 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.2019.05.008 Search 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/10.1177/0047287517747753 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/10.1177/0047287517747753 Search 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/10.26342/2021-67-14 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/10.26342/2021-67-14 Search 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.2017.03.009 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.2017.03.009 Search 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.2020.11.002 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.2020.11.002 Search 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-02-2020-0034 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-02-2020-0034 Search 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.2013.02.102 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.2013.02.102 Search 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_00051 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_00051 Search 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 7.1310075 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/10.1080/19368623.2017.1310075 Search 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.2013.30 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.2013.30 Search 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.2015.01.010 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.2015.01.010 Search 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-08-2016-0243 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-08-2016-0243 Search 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/app10155275 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/app10155275 Search 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.2020.100295 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.2020.100295 Search 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/10.1145/1151030.1151032 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/10.1145/1151030.1151032 Search 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.2015.05.007 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.2015.05.007 Search 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/10.1080/03736245.2018.1541022 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/10.1080/03736245.2018.1541022 Search 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.2017.03.019 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.2017.03.019 Search 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 Publishing 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 Publishing Search 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-07-2020-0760 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-07-2020-0760 Search 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)00037-3 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)00037-3 Search 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/v1 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/v1 Search 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=7862202 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=7862202 Search 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.2020.100020 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.2020.100020 Search 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 80/19368623.2013.723995 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/10.1080/19368623.2013.723995 Search 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.2018.03.009 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.2018.03.009 Search 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/10.1080/19368623.2016.1113904 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/10.1080/19368623.2016.1113904 Search 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.2017.11.006 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.2017.11.006 Search 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.2021.100598 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.2021.100598 Search 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-09-2016-0046 Moro S. Rita P. ( 2016 ). Forecasting tomorrow’s tourist . Worldwide Hospitality and Tourism Themes , 8 ( 6 ), 643 653 . http://doi.org/10.1108/WHATT-09-2016-0046 Search 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.2019.07.002 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.2019.07.002 Search 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_47 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 Rutkowski L. Scherer R. Korytkowski M. Pedrycz W. Tadeusiewicz R. Zurada J. M. (Eds.), Artificial Intelligence and Soft Computing (pp. 560 569 ). Springer Nature Switzerland . https://doi.org/10.1007/978-3-031-42505-9_47 Search 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.2020.102495 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.2020.102495 Search 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/10.1080/15022250.2020.1833362 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/10.1080/15022250.2020.1833362 Search 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. 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 . 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_44 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 Carvalho J. V. D. Liberato P. Peña A. (Eds.), Advances in Tourism, Technology and Systems (pp. 537 547 ). Springer Nature Singapore . https://doi.org/10.1007/978-981-16-9701-2_44 Search 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.2020.106935 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.2020.106935 Search 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.2022.103245 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.2022.103245 Search 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.v8i3.12447 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.v8i3.12447 Search 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_12 Scalabrini E. Ferreira J. Zekan S. B. Fernandes P. O. ( 2023 ). Destination Image Through TripAdvisor s Reviews Analysis . In Martins N. Raposo D. (Eds.), Communication Design and Branding: A Multidisciplinary Approach (pp. 205 221 ). Springer Nature Switzerland . https://doi.org/10.1007/978-3-031-35385-7_12 Search in Google Scholar

Sharda, R., Delen, D., & Turban, E. (2017). Business intelligence, analytics, and data science: a managerial perspective. Pearson Sharda R. Delen D. Turban E. ( 2017 ). Business intelligence, analytics, and data science: a managerial perspective . Pearson Search 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/22468 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/22468 Search 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.2019.103540 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.2019.103540 Search in Google Scholar

Srivastava, A. N., & Sahami, M. (2009). Text Mining: Classification, Clustering, and Applications. CRC Press Srivastava A. N. Sahami M. ( 2009 ). Text Mining: Classification, Clustering, and Applications . CRC Press Search 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.v7i2.1732 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.v7i2.1732 Search 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.2019.06.020 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.2019.06.020 Search 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.2020.104122 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.2020.104122 Search 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.2018.09.096 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.2018.09.096 Search 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. 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 . 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/meta 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/meta Search 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.2020.11.007 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.2020.11.007 Search in Google Scholar