Predicting happiness: user interactions and sentiment analysis in an online travel forum

Using multivariate statistics

Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,888 · see citing works

Social Network Analysis: Methods and Applications

Wasserman, S. S., & Faust, K. (1994) · Cited by 18,005 · see citing works

Social Network Analysis: Methods and Applications

Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557 · see citing works

Power-Law Distributions in Empirical Data

Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009) · SIAM Review · doi:10.1137/070710111 · Cited by 8,019 · see citing works

Maximizing the spread of influence through a social network

Kempe, D., Kleinberg, J. M., & Eva Tardos, D. (2003) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/956750.956769 · Cited by 7,541 · see citing works

Power-law distributions in empirical data

Clauset, A. J., Shalizi, C. R., & Newman, M. E. J. (2018) · Figshare · doi:10.1184/r1/6586835.v1 · Cited by 6,736 · see citing works

Networks

Newman, M. (2010) · doi:10.1093/acprof:oso/9780199206650.001.0001 · Cited by 6,595 · see citing works

Experimental evidence of massive-scale emotional contagion through social networks

Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320040111 · Cited by 3,687 · see citing works

Natural language processing with Python

Bird, S., Klein, E., & Loper, E. (2009) · CERN Document Server (European Organization for Nuclear Research) · Cited by 3,472 · see citing works

Lexicon-based methods for sentiment analysis

Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011) · Computational Linguistics · doi:10.1162/coli_a_00049 · Cited by 3,301 · see citing works

SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining

Baccianella, S., Esuli, A., & Sebastiani, F. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2jktnrykui9s · Cited by 2,691 · see citing works

SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining

Esuli, A., & Sebastiani, F. (2006) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/54vo5wjya4cw · Cited by 2,494 · see citing works

Networks, Crowds, and Markets: Network Dynamics: Structural Models

Easley, D. A., & Kleinberg, J. M. (2010) · Cited by 1,385 · see citing works

Networks, Crowds, and Markets: Network Dynamics: Population Models

Easley, D. A., & Kleinberg, J. M. (2010) · Cited by 1,385 · see citing works

DYNAMIC NETWORKS AND BEHAVIOR: SEPARATING SELECTION FROM INFLUENCE: separating selection from influence

Steglich, C., Snijders, T., & Pearson, M. P. R. (2010) · Sociological Methodology · doi:10.1111/j.1467-9531.2010.01225.x · Cited by 900 · see citing works

Expertise networks in online communities

Zhang, J., Ackerman, M. S., & Adamic, L. A. (2007) · International World Wide Web Conference (WWW) · doi:10.1145/1242572.1242603 · Cited by 797 · see citing works

Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications

Brashears, M. E. (2014) · Contemporary Sociology A Journal of Reviews · doi:10.1177/0094306114539455gg · Cited by 706 · see citing works

Modeling social influence through network autocorrelation: constructing the weight matrix

Leenders, R. (2002) · Social Networks · doi:10.1016/s0378-8733(01)00049-1 · Cited by 596 · see citing works

Information and Communication Technologies in Tourism 2011

Law, R., Fuchs, M., & Ricci, F. (2011) · Springer eBooks · doi:10.1007/978-3-7091-0503-0 · Cited by 345 · see citing works

Weakly Supervised Joint Sentiment-Topic Detection from Text

Lin, C., He, Y., Everson, R., & Rüger, S. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2011.48 · Cited by 310 · see citing works

Data mining emotion in social network communication: Gender differences in MySpace

Thelwall, M. A., Wilkinson, D., & Uppal, S. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21180 · Cited by 280 · see citing works

Analyzing destination branding and image from online sources: A web content mining approach

Költringer, C., & Dickinger, A. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.01.011 · Cited by 260 · see citing works

Anger Is More Influential than Joy: Sentiment Correlation in Weibo

Fan, R., Zhao, J., Chen, Y., & Xu, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110184 · Cited by 244 · see citing works

Collective Emotions Online and Their Influence on Community Life

Chmiel, A., Sienkiewicz, J., Thelwall, M. A., Paltoglou, G., Buckley, K. A., Kappas, A., & Hołyst, J. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022207 · Cited by 225 · see citing works

A Survey of Models and Algorithms for Social Influence Analysis

Sun, J., & Tang, J. (2011) · Springer eBooks · doi:10.1007/978-1-4419-8462-3_7 · Cited by 201 · see citing works

Negative emotions boost user activity at BBC forum

Chmiel, A., Sobkowicz, P., Sienkiewicz, J., Paltoglou, G., Buckley, K. A., Thelwall, M. A., & Hołyst, J. A. (2011) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2011.03.040 · Cited by 172 · see citing works

Future research issues in IT and tourism

Werthner, H., Alzua-Sorzabal, A., Cantoni, L., Dickinger, A., Ulrike Gretzel, B., Jannach, D., Neidhardt, J., Pröll, B., Ricci⋆, F., Scaglione, M., et al. (2015) · Information Technology & Tourism · doi:10.1007/s40558-014-0021-9 · Cited by 158 · see citing works

Classification of Customer Reviews based on Sentiment Analysis

Gräbner, D., Zanker, M., Fliedl, G., & Fuchs, M. (2012) · Information and Communication Technologies in Tourism 2012 · doi:10.1007/978-3-7091-1142-0_40 · Cited by 136 · see citing works

Analyzing user reviews in tourism with topic models

Rossetti, M., Stella, F. A., & Zanker, M. (2015) · Information Technology & Tourism · doi:10.1007/s40558-015-0035-y · Cited by 104 · see citing works

Sentiment Flow Through Hyperlink Networks

Miller, M., Sathi, C., Wiesenthal, D., Leskovec, J., & Potts, C. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14199 · Cited by 93 · see citing works

Sentiment Analysis: Extracting Decision-Relevant Knowledge from UGC

Schmunk, S., Höpken, W., Fuchs, M., & Lexhagen, M. (2013) · Springer eBooks · doi:10.1007/978-3-319-03973-2_19 · Cited by 91 · see citing works

Networks and emotion-driven user communities at popular blogs

Dankulov, M. M., Paltoglou, G., & Tadić, B. (2010) · The European Physical Journal B · doi:10.1140/epjb/e2010-00279-x · Cited by 66 · see citing works

Information and Communication Technologies in tourism

Ráthonyi, G. (2011) · Acta Agraria Debreceniensis · doi:10.34101/actaagrar/44/2605 · Cited by 64 · see citing works

LONGITUDINAL BEHAVIOR OF NETWORK STRUCTURE AND ACTOR ATTRIBUTES: MODELING INTERDEPENDENCE OF CONTAGION AND SELECTION

(2013) · Routledge eBooks · doi:10.4324/9780203059500-12 · Cited by 63 · see citing works

Untitled work

(2012) · International Conference on Information Technology · Cited by 50 · see citing works

Autologistic Actor Attribute Models

Daraganova, G., & Robins, G. L. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511894701.011 · Cited by 37 · see citing works

Correlating Languages and Sentiment Analysis on the Basis of Text-based Reviews

García-Pablos, A., Duca, A. L., Cuadros, M., Linaza, M. T., & Marchetti, A. (2016) · Information and Communication Technologies in Tourism 2016 · doi:10.1007/978-3-319-28231-2_41 · Cited by 14 · see citing works

Can We Predict Your Sentiments by Listening to Your Peers?

Neidhardt, J., Rümmele, N., & Werthner, H. (2016) · Springer eBooks · doi:10.1007/978-3-319-28231-2_43 · Cited by 7 · see citing works

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

Birjali, M., Kasri, M., & Beni‐Hssane, A. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107134 · Cited by 992 · see citing works

Sentiment Analysis in Tourism: Capitalizing on Big Data

Alaei, A. R., Becken, S., & Stantic, B. (2019) · Journal of Travel Research · doi:10.1177/0047287517747753 · Cited by 622 · see citing works

Tourism recommendation system based on semantic clustering and sentiment analysis

Abbasi-Moud, Z., Vahdat‐Nejad, H., & Sadri, J. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114324 · Cited by 239 · see citing works

Sentiment analysis in hospitality and tourism: a thematic and methodological review

Mehraliyev, F., Chan, I. C. C., & Kirilenko, A. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2021-0132 · Cited by 215 · see citing works

Does digital content marketing affect tourism consumer behavior? An extension of t echnology acceptance model

Mathew, V., & Soliman, M. S. A. (2020) · Journal of Consumer Behaviour · doi:10.1002/cb.1854 · Cited by 159 · see citing works

Predicting sentiment and rating of tourist reviews using machine learning

Puh, K., & Babac, M. B. (2022) · Journal of Hospitality and Tourism Insights · doi:10.1108/jhti-02-2022-0078 · Cited by 145 · see citing works

Turning It Off: Emotions in Digital-Free Travel

Cai, W., McKenna, B., & Waizenegger, L. (2019) · Journal of Travel Research · doi:10.1177/0047287519868314 · Cited by 88 · see citing works

Tourism destination management using sentiment analysis and geo-location information: a deep learning approach

Paolanti, M., Mancini, A., Frontoni, E., Felicetti, A., Marinelli, L., Marcheggiani, E., & Pierdicca, R. (2021) · Information Technology & Tourism · doi:10.1007/s40558-021-00196-4 · Cited by 83 · see citing works

Exploring China's 5A global geoparks through online tourism reviews: A mining model based on machine learning approach

Luo, Y., He, J., Mou, Y., Wang, J., & Liu, T. (2020) · Tourism Management Perspectives · doi:10.1016/j.tmp.2020.100769 · Cited by 73 · see citing works

Natural language processing applied to tourism research: A systematic review and future research directions

Álvarez‐Carmona, M. Á., Aranda, R., Rodríguez‐González, A. Y., Fajardo‐Delgado, D., Sánchez, M. G., Pérez-Espinosa, H., Martı́nez-Miranda, J., Rodríguez, R. G., Bustio-Martínez, L., & Pacheco, A. D. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2022.10.010 · Cited by 81 · see citing works

Twitter sentiment analysis of app based online food delivery companies

Trivedi, S. K., & Singh, A. (2021) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-04-2020-0056 · Cited by 68 · see citing works

Reading between the lines: analyzing online reviews by using a multi-method Web-analytics approach

Gour, A., Aggarwal, S., & Erdem, M. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-07-2020-0760 · Cited by 62 · see citing works

A location-based orientation-aware recommender system using IoT smart devices and Social Networks

Ojagh, S., Malek, M. R., Saeedi, S., & Liang, S. H. L. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.02.041 · Cited by 49 · see citing works

Sentiment analysis using deep learning techniques: a comprehensive review

Sahoo, C., Wankhade, M., & Singh, B. K. (2023) · International Journal of Multimedia Information Retrieval · doi:10.1007/s13735-023-00308-2 · Cited by 51 · see citing works

The coupling and coordination relationship of the digital economy and tourism industry from the perspective of industrial integration

Ye, X., Wang, J., & Sun, R. (2022) · European Journal of Innovation Management · doi:10.1108/ejim-08-2022-0440 · Cited by 45 · see citing works

Knowledge based topic retrieval for recommendations and tourism promotions

Mishra, R. K., Jothi, J. A. A., Urolagin, S., & Irani, K. (2022) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2022.100145 · Cited by 43 · see citing works

Linguistic Comparison Quality Evaluation of Web-Site Content with Tourism Documentation Objects

Zhezhnych, P., & Markiv, O. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-70581-1_45 · Cited by 42 · see citing works

Development of Information and Communication Technology: From e-Tourism to Smart Tourism

Leung, R. (2022) · Springer eBooks · doi:10.1007/978-3-030-48652-5_2 · Cited by 45 · see citing works

CAFOB: Context-aware fuzzy-ontology-based tourism recommendation system

Abbasi-Moud, Z., Hosseinabadi, S., Kelarestaghi, M., & Eshghi, F. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116877 · Cited by 41 · see citing works

Sentiment classification of twitter data belonging to renewable energy using machine learning

Jain, A., & Jain, V. (2019) · Journal of Information and Optimization Sciences · doi:10.1080/02522667.2019.1582873 · Cited by 40 · see citing works

A predictive model of tourist destinations based on tourists' comments and interests using text analytics

Sohrabi, B., Vanani, I. R., Nasiri, N., & Rudd, A. G. (2020) · Tourism Management Perspectives · doi:10.1016/j.tmp.2020.100710 · Cited by 39 · see citing works

Peeking inside the minds of tourists using a novel web analytics approach

Aggarwal, S., & Gour, A. (2020) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2020.10.009 · Cited by 39 · see citing works

Development of Information and Communication Technology: From e-Tourism to Smart Tourism

Leung, R. (2022) · Springer eBooks · doi:10.1007/978-3-030-05324-6_2-1 · Cited by 40 · see citing works

Measuring Hotel Review Sentiment: An Aspect-Based Sentiment Analysis Approach

Tran, T. V., Ba, H., & Huynh, V. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-14815-7_33 · Cited by 37 · see citing works

HOMPer: A new hybrid system for opinion mining in the Persian language

Basiri, M. E., & Kabiri, A. (2019) · Journal of Information Science · doi:10.1177/0165551519827886 · Cited by 37 · see citing works

Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence.

Kumar, A., & Sharma, A. (2017) · Cited by 33 · see citing works

Evaluation of Tourism E-Commerce User Satisfaction

Tang, G., & Zeng, H. (2021) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.20210901.oa2 · Cited by 29 · see citing works

Cultural and Individual Differences in Online Reviews

Messner, W. (2020) · Journal of International Consumer Marketing · doi:10.1080/08961530.2020.1722980 · Cited by 26 · see citing works

Do all brand CSR initiatives make consumers happy? The role of CSR-brand (mis)fit and sense of relatedness

Gilal, F. G., Gilal, N. G., Martinez, L. F., & Gilal, R. G. (2023) · Journal of Product & Brand Management · doi:10.1108/jpbm-01-2022-3849 · Cited by 24 · see citing works

Perceptions of Agritourism and Cooperation: Comparisons between an Island and a Mountain Region in Greece

Karampela, S., Papapanos, G., & Kizos, T. (2019) · Sustainability · doi:10.3390/su11030680 · Cited by 23 · see citing works

The effect of aggregation methods on sentiment classification in Persian reviews

Basiri, M. E., Kabiri, A., Abdar, M., Mashwani, W. K., Yen, N. Y., & Hung, J. C.-S. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2019.1669829 · Cited by 23 · see citing works

Application of Big Data Technology in the Impact of Tourism E‐Commerce on Tourism Planning

Zhang, H., Guo, T., & Su, X. (2021) · Complexity · doi:10.1155/2021/9925260 · Cited by 21 · see citing works

Improving sentiment analysis in tourism through LLM-enhanced irony detection

Liu, W., Wu, L., & Zhao, H. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105272 · Cited by 20 · see citing works

A systematic mapping study on Tourist-Tourist interactions

Li, J., Kunasekaran, P., Chia, K. W., & Chuah, S. H. (2023) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2023.06.017 · Cited by 20 · see citing works

Social Media Marketing and Its Influence on the Performance of Micro, Small, and Medium-Sized Tourism Enterprises: Mediation of Innovation Capabilities

Khaki, A. A., & Khan, T. A. (2023) · Journal of Global Marketing · doi:10.1080/08911762.2023.2250998 · Cited by 17 · see citing works

Review Ratings, Sentiment in Review Comments, and Restaurant Profitability: Firm-Level Evidence

Abdullah, S., Cauwenberge, P. V., Bauwhede, H. V., & O’Connor, P. (2023) · Cornell Hospitality Quarterly · doi:10.1177/19389655231214758 · Cited by 19 · see citing works

Comparative Content Analysis of Hotel Reviews by Mass Tourism Destination

Atabay, L., & Çızel, B. (2020) · Journal of Tourism and Services · doi:10.29036/jots.v11i21.163 · Cited by 13 · see citing works

Advancing tourism sentiment analysis: a comparative evaluation of traditional machine learning, deep learning, and transformer models on imbalanced datasets

Srianan, S., Nanthaamornphong, A., & Phucharoen, C. (2025) · Information Technology & Tourism · doi:10.1007/s40558-025-00336-0 · Cited by 17 · see citing works

On modeling of responses generated by travel 2.0 implementation: fuzzy rule-based systems

Başaran, M. A., Doğan, S., & Kantarcı, K. (2020) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-03-2019-0279 · Cited by 10 · see citing works

Analyzing Tourism Online Reviews

Höpken, W., Fuchs, M., & Lexhagen, M. (2024) · Tourism · doi:10.37741/t.72.1.1 · Cited by 8 · see citing works

Machine Learning Techniques in Tourism and Hospitality Research: A Critical Assessment

Li, N., Liu, X., & Meng, F. (2025) · Journal of Travel Research · doi:10.1177/00472875251401912 · Cited by 8 · see citing works

Prediction analysis of the happiness ranking of countries based on macro level factors

Handayani, D. O. D., Lubis, M., & Lubis, A. R. (2022) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v11.i2.pp666-678 · Cited by 8 · see citing works

Mobile Application for Tourism

Hussein, S., & Ahmed, E. (2021) · International Journal of Customer Relationship Marketing and Management · doi:10.4018/ijcrmm.290415 · Cited by 7 · see citing works

Exploring the relation between festivals and host cities on Twitter: a study on the impacts of Lucca Comics & Games

Uriarte, Y. T., Petrocchi, M., Catoni, M. L., Cresci, S., Nicola, R. D., Tesconi, M., & Uriarte, R. B. (2020) · Information Technology & Tourism · doi:10.1007/s40558-020-00185-z · Cited by 6 · see citing works

Performance analysis of neuro linguistic programming techniques using confusion matrix

Kumar, A., & Panda, S. P. (2022) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v25.i3.pp1696-1702 · Cited by 5 · see citing works

ASPECT-BASED SENTIMENT ANALYSIS OF POLITICAL DISCOURSE

Георгиевна, Б. Е., Bidulya, Y. V., & Gorbunov, A. A. (2021) · Tyumen State University Herald Humanities Research Humanitates · doi:10.21684/2411-197x-2021-7-3-6-22 · Cited by 4 · see citing works

Impact of Neuro Linguistic Programming on Social Communities through Visual Kinesthetic Dissociation

Kumar, A., & Supriya, P. (2020) · International Journal of Computer Applications · doi:10.5120/ijca2020920101 · Cited by 4 · see citing works

Understanding Online Discussion Experiences of Blind Screen Reader Users

Ferdous, M. J., Nayak, A. K., Prakash, Y., Venkatraman, N., Jayarathna, S., Lee, H.-N., & Ashok, V. G. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2589865 · Cited by 3 · see citing works

Design Amharic Text Sentiment Analysis Model Using Machine Learning Techniques. In Case of Restaurant Reviews

Gedif, B., Alemu, A., Assefa, Y., & Nibret, S. (2023) · International Conference on Information and Communication Technology for Development for Africa (ICT4DA) · doi:10.1109/ict4da59526.2023.10302239 · Cited by 3 · see citing works

Twitter sentiment analysis: An estimation of the trends in tourism after the outbreak of the Covid-19 pandemic

Malik, G., & Singh, D. (2023) · European journal of tourism, hospitality and recreation · doi:10.2478/ejthr-2023-0004 · Cited by 3 · see citing works

Heritage Destination: Weaknesses and Strengths Based on the Opinions of Its Visitors—Case Study: The Alhambra and Generalife

Prados‐Peña, M. B., Pérez, M. P. S., & Piernikowska, A. (2021) · J of Tourism and Hospitality Management · doi:10.17265/2328-2169/2021.06.001 · Cited by 3 · see citing works

Investigating the Relationships among Sentiment, Hotel Aspects, and Customer’s Home Country from Online Reviews: A Machine Learning ApproachPreprint

Ba, H., Nguyen, S., Thang, P. V. M., Le, T. T., & Huynh, N. V. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3357751 · Cited by 2 · see citing works

Qualitative Neuro Linguistic Programming using Meta Modeling and Python

Kumar, A., & Panda, S. P. (2020) · International Journal of Computer Applications · doi:10.5120/ijca2020920804 · Cited by 1 · see citing works

Sentiment Analysis of Ten Tourism Destinations in Indonesia

Nivak, C. L. H. S. (2021) · Journal of Indonesian Tourism and Development Studies · doi:10.21776/ub.jitode.2021.009.03.03 · Cited by 1 · see citing works

Detection of gaps in documentation concerning remotepiloted aviation based on content analysis

Markiv, V., Mykyychuk, M., & Markiv, O. (2018)

A Conceptual Review on Impact of User Generated Facebook Content on Destination Choices; With Special Reference to Tourism IndustryPreprint

Fernando, A., Dabare, P., & Hewapathirana, N. (2023) · Social Science Research Network · doi:10.2139/ssrn.4474808

Perspective Chapter: An Adaptive Approach to User Behavior Prediction in the Online Travel Sector

Kang, R. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1009823

Digital infrastructure's impact on tourism services in Boumerdes

Souiher, K., Belguesmia, S., Aouda, S., & Rezzaz, M. A. (2025) · Glasnik srpskog geografskog drustva · doi:10.2298/gsgd2501097s

The impact of visual emotional cues in cultural heritage on public sentiment and behavioral intention: an image emotion recognition approach

Lai, S., Tian, Y., & Zhang, Q. (2026) · npj Heritage Science · doi:10.1038/s40494-026-02348-3

From Reviews to Actionable Insights: Leveraging NLP for Sentiment and Topic Analysis in HospitalityPreprint

Fleșeriu, C., COSMA, S. A., Kostelić, K., & Bocăneț, V. (2026) · Research Square · doi:10.21203/rs.3.rs-9722332/v1

Utilizing machine learning for comprehensive sentiment analysis: an in-depth investigation

Sharma, P., & Rani, S. (2026) · Multimedia Tools and Applications · doi:10.1007/s11042-026-21711-x

Can We Predict Your Sentiments by Listening to Your Peers?

Neidhardt, J., Rümmele, N., & Werthner, H. (2016) · Springer eBooks · doi:10.1007/978-3-319-28231-2_43 · Cited by 7 · see citing works

Sentiment Analysis of Online Comments through Semantic Networks and ROST Text Mining Software

Wu, D., & Limei, Y. (2021) · IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) · doi:10.1109/tocs53301.2021.9688923 · Cited by 11 · see citing works

Sentiment analysis for the managemet of social networks in tourism

Cruces Cabezas, E. I. (2019) · Repositorio Institucional de la Universidad de Málaga (University of Málaga)

Analysis of Sentiment Tendency of Tourists’ Comments Based on Text Mining

Feng, S., Cui, W. Q., & Kong, L. (2021) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-89511-2_1 · Cited by 2 · see citing works

VisTravel: visualizing tourism network opinion from the user generated content

Li, Q. S., Ya, W., Wang, S., Lin, M., Feng, X., & Wang, H. (2016) · Journal of Visualization · doi:10.1007/s12650-015-0330-x · Cited by 27 · see citing works