Machine learning algorithms for social media analysis: A survey

Scikit-learn: Machine Learning in Python

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A review of machine learning methods applied to structural dynamics and vibroacoustic

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AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability

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Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis

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Convergence of artificial intelligence with social media: A bibliometric & qualitative analysis

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Sensors and Artificial Intelligence Methods and Algorithms for Human–Computer Intelligent Interaction: A Systematic Mapping Study

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Social network data analysis to highlight privacy threats in sharing data

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Social media bot detection with deep learning methods: a systematic review

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Intrusion detection and prevention in fog based IoT environments: A systematic literature review

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Impact of extreme weather in production economics: Extracting evidence from user-generated content

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Exploring the Potential of Distributed Computing Continuum Systems

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Exploring the Intersection of Machine Learning and Big Data: A Survey

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Biological Membrane-Penetrating Peptides: Computational Prediction and Applications

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More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts

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Evolving techniques in sentiment analysis: a comprehensive review

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IoT Based System for Heart Monitoring and Arrhythmia Detection Using Machine Learning

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Intelligent User Interfaces and Their Evaluation: A Systematic Mapping Study

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Deep learning methods improve genomic prediction of wheat breeding

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Understanding engagement with Instagram posts about tourism destinations

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Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning

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The drivers of online polarization: Fitting models to data

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Smart wearable model for predicting heart disease using machine learning

Rani, S. V. J., Chandran, K. R. S., Ranganathan, A., Chandrasekharan, M., Janani, B., & Deepsheka, G. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-03823-y · Cited by 36

Multiobjective Deep Reinforcement Learning for Recommendation Systems

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Using Machine Learning Techniques to Predict Learner Drop-out Rate in Higher Educational Institutions

Dake, D. K., & Buabeng-Andoh, C. (2022) · Mobile Information Systems · doi:10.1155/2022/2670562 · Cited by 31

Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling

Chen, Q., Xu, S., Liu, R., & Jiang, Q. (2023) · Sustainability · doi:10.3390/su15129296 · Cited by 29

Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions

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SocialFi transforms social media: an overview of key technologies, challenges, and opportunities of the future generation of social media

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Dimensionally reduced machine learning model for predicting single component octanol–water partition coefficients

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Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data

Darko, A. P., Antwi, C. O., Adjei, K., Zhang, B., & Ren, J. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123647 · Cited by 31

Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic

Liu, C., Li, Y., Fang, M., & Liu, F. (2023) · Service Business · doi:10.1007/s11628-023-00535-x · Cited by 26

The Influence of Smartphone Use on Tweens’ Capacity for Complex Critical Thinking

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Hate speech detection in the Bengali language: a comprehensive survey

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BS-80K: The first large open-access dataset of bone scan images

Huang, Z., Pu, X., Tang, G., Ping, M., Jiang, G., Wang, M., Wei, X., & Ren, Y. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106221 · Cited by 25

Impact of Artificial Intelligence on Digital Marketing

Kar, S. (2023) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem25001 · Cited by 25

Machine learning and deep learning techniques for poultry tasks management: a review

Subramani, T., Jeganathan, V., & Balasubramanian, S. K. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18951-0 · Cited by 22

Big data and innovative organizational performance: Evidence from a moderated‐mediated model

Demir, M., Demir, Ş. Ş., & Yaşar, E. (2022) · Creativity and Innovation Management · doi:10.1111/caim.12525 · Cited by 23

Persuasive technologies design for mental and behavioral health platforms: A scoping literature review

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Advanced Pattern-Mining System for Fake News Analysis

Djenouri, Y., Belhadi, A., Srivastava, G., & Lin, J. C. (2023) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3233408 · Cited by 20

The Use of Traditional, Complementary, and Integrative Medicine in Cancer: Data-Mining Study of 1 Million Web-Based Posts From Health Forums and Social Media Platforms

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Development of a Mango-Grading and -Sorting System Based on External Features, Using Machine Learning Algorithms

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Machine Learning Algorithms

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Generative Adversarial Network-Based Experience Design for Visual Communication: An Innovative Exploration in Digital Media Arts

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Integration of cognitive tasks into artificial general intelligence test for large models

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The Optimization of n-Gram Feature Extraction Based on Term Occurrence for Cyberbullying Classification

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SLM-DFS: A systematic literature map of deepfake spread on social media

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Developing students’ reasoning with data and data-ing

Fielding-Wells, J., Makar, K., & Ben‐Zvi, D. (2025) · ZDM · doi:10.1007/s11858-025-01671-6 · Cited by 17

A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media

Butt, M. J., Malik, A. K., Qamar, N., Yar, S., Malik, A. J., & Rauf, U. (2023) · Sensors · doi:10.3390/s23125543 · Cited by 20

Leveraging hybrid model for accurate sentiment analysis of Twitter data

Jonnala, N. S., Teja, A. V. S. R., Rajeswari, S. R., Jakeer, S., Dheeraj, A., Bansal, S., Prakash, K., Singh, S. S., Faruque, M. R. I., & Almugren, K. S. (2025) · Scientific Reports · doi:10.1038/s41598-025-09794-2 · Cited by 16

Community detection in social networks using machine learning: a systematic mapping study

Nooribakhsh, M., Fernández-Diego, M., González-Ladrón-de-Guevara, F., & Mollamotalebi, M. (2024) · Knowledge and Information Systems · doi:10.1007/s10115-024-02201-8 · Cited by 16

Unravelling the potential of social media data analysis to improve the warranty service operation

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A New Precipitation Prediction Method Based on CEEMDAN-IWOA-BP Coupling

Liu, F., Liu, Y., Yang, C., & Lai, R. (2022) · Water Resources Management · doi:10.1007/s11269-022-03277-z · Cited by 15

Revolutionizing water and wastewater treatment: Data-driven approaches for advanced solutions

Maqsood, Q., Fatima, R., Rafaqat, F., Mehmood, T., Ali, S. W., & Hussain, M. (2025) · Desalination and Water Treatment · doi:10.1016/j.dwt.2025.101432 · Cited by 14

Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification

Shen, H.-Z., Ju, Y., & Zhu, Z. (2022) · International Journal of Environmental Research and Public Health · doi:10.2139/ssrn.4237694 · Cited by 14

Embedded big data in packaged foods: examining consumer sentiment during the purchasing process post-COVID-19

Yaşar, E., Demir, M., & Taşdemir, T. (2023) · British Food Journal · doi:10.1108/bfj-12-2022-1124 · Cited by 14

Precipitation forecasting: from geophysical aspects to machine learning applications

de Oliveira, E. C. L., Neto, A. V. N., dos Santos, A. P. P., da Costa, C. P. W., de Freitas, J. C. G., Filho, P. W. M. E. S., Rocha, R. D. L., Alves, R. C. D. O., Franco, V. D. S., de Carvalho, E. C., et al. (2023) · Frontiers in Climate · doi:10.3389/fclim.2023.1250201 · Cited by 16

Strategic Deployment of AI and Drones Enhancing Disaster Management in Natural Disasters

Singh, R., Manoharan, G., & Singh, S. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-3896-4.ch009 · Cited by 14

A Comprehensive Survey on Pre Versus Post Quantum Security Schemes for 5G-Enabled IoT Applications

Choudhury, B., Hota, A., Karmakar, M., Saha, S., Nag, A., & Nandi, S. (2025) · IEEE Access · doi:10.1109/access.2025.3608623 · Cited by 16

Harnessing AI for Entrepreneurial Idea Generation

Zreık, M. (2024) · Advances in business strategy and competitive advantage book series · doi:10.4018/979-8-3693-3498-0.ch001 · Cited by 13

Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data

Özmen, C. G., & Gündüz, S. (2025) · Applied Sciences · doi:10.3390/app15052297 · Cited by 13

Toward a prediction approach based on deep learning in Big Data analytics

Haddad, O., Fkih, F., & Omri, M. N. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07986-9 · Cited by 13

Enhancing Accuracy of Face Recognition in Occluded Scenarios With Occlusion-Aware Module-Based Network

Wang, D., & Li, R. (2023) · IEEE Access · doi:10.1109/access.2023.3326235 · Cited by 12

LRFM—based association rule mining for dentistry services patterns identification (case study: a dental center in Iran)

Tavakoli, M., Ghanavati-Nejad, M., Tajally, A., & Sheikhalishahi, M. (2023) · Soft Computing · doi:10.1007/s00500-023-09416-x · Cited by 12

Detection of fickle trolls in large-scale online social networks

Shafiei, H., & Dadlani, A. (2022) · Journal Of Big Data · doi:10.1186/s40537-022-00572-9 · Cited by 12

Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification

Mostafa, A. M., Aljasir, M., Alruily, M., Alsayat, A., & Ezz, M. M. (2023) · Applied Sciences · doi:10.3390/app13042074 · Cited by 12

Chatbots in Pharmacy: A Boon or a Bane for Patient Care and Pharmacy Practice?

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Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques: A Comprehensive Review and Open Challenges

Amin, S., Zeb, M. A., Alshahrani, H. M., Hamdi, M., Alsulami, M., & Shaikh, A. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.043921 · Cited by 10

Hierarchical multistep approach for intrusion detection and identification in IoT and Fog computing-based environments

de Souza, C. A., Westphall, C. B., Valencio, J. D. G., Machado, R. B., & Bezerra, W. D. R. (2024) · Ad Hoc Networks · doi:10.1016/j.adhoc.2024.103541 · Cited by 13

Recent advances in Machine Learning based Advanced Driver Assistance System applications

Tatar, G., Bayar, S., Çiçek, İ., & Niar, S. (2024) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2024.105101 · Cited by 13

AI State of Play: The Technology, Strategic Communication Practice and Academia

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From Centralization to Decentralization: Blockchain’s Role in Transforming Social Media Platforms

Diba, B. S., Plabon, J. D., Tasnim, N., Hossain, M., Mistry, D., Sarker, S., Mridha, M. F., Okuyama, Y., & Shin, J. (2025) · IEEE Access · doi:10.1109/access.2025.3561663 · Cited by 12

Research on the collaborative evolution process of information in public health emergencies based on complex adaptive system theory and social network analysis: a case study of the COVID-19 pandemic

Lv, K., Luo, X., Shan, J., Guo, Y., & Xiang, M. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1210255 · Cited by 10

An intelligent sentiment prediction approach in social networks based on batch and streaming big data analytics using deep learning

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Use of social media for COVID-19-related information and associated factors among health professionals in Northwest Ethiopia: A cross-sectional study

Tegegne, M. D., Endehabtu, B. F., Klein, J., Gullslett, M. K., & Yilma, T. M. (2022) · Digital Health · doi:10.1177/20552076221113394 · Cited by 10

Experimentally trained hybrid machine learning algorithm for predicting turbulent particle-laden flows in pipes

Yang, Z., Li, K., & Barigou, M. (2023) · Physics of Fluids · doi:10.1063/5.0172609 · Cited by 9

OPTIMIZATION OF QUANTITATIVE RESEARCH METHODS IN SOCIAL SCIENCES IN THE ERA OF BIG DATA

Song, Y. (2023) · Acta Informatica Malaysia · doi:10.26480/aim.02.2023.92.96 · Cited by 9

Deep Neural Network DNN Applied to the Analysis of Student Dropout

Barón, M. J. S., González-Sanabria, J.-S., & Díaz, J. E. E. (2022) · Investigación e Innovación en Ingenierías · doi:10.17081/invinno.10.1.5607 · Cited by 9

Sentiment Analysis of Tweets on Soda Taxes

An, R., Yang, Y., Batcheller, Q., & Zhou, Q. (2023) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000001721 · Cited by 9

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 9

Machine Learning for sport results prediction using algorithms

Lotfi, S., & Rebbouj, M. (2021) · International Journal of Information Technology and Applied Sciences (IJITAS) · doi:10.52502/ijitas.v3i3.114 · Cited by 8

Using topological data analysis and machine learning to predict customer churn

Sagming, M., Heymann, R., & Visaya, M. V. (2024) · Journal Of Big Data · doi:10.1186/s40537-024-01020-6 · Cited by 7

Static and adaptive subspace information fusion for indefinite heterogeneous proximity data

Münch, M., Röder, M., Heilig, S., Raab, C., & Schleif, F.-M. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126635 · Cited by 8

Fathers’ use of social media for social comparison is associated with their food parenting practices

Saher, A., Tang, L., Douglas, S., Jacob, R., Walton, K., Sadowski, A. S., David, W. L., & Haines, J. (2024) · Appetite · doi:10.1016/j.appet.2024.107201 · Cited by 7

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Saihood, G. S. W., Haddad, A. T. H., & Eyada, F. (2023) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese60595.2023.10468984 · Cited by 7

Leveraging ensemble clustering for privacy-preserving data fusion: Analysis of big social-media data in tourism

Iam-On, N., Boongoen, T., Naik, N., & Yang, L. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121336 · Cited by 7

Distributional learning in multi-objective optimization of recommender systems

Candelieri, A., Ponti, A., Giordani, I., Bosio, A., & Archetti, F. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-04356-0 · Cited by 7

Prediction of Intention to Use Social Media in Online Blended Learning Using Two Step Hybrid Feature Selection and Improved SVM Stacked Model

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Technique of Feature Extraction Based on Interpretation Analysis for Multilabel Learning in Nonintrusive Load Monitoring With Multiappliance Circumstances

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Open Source Intelligence and its Applications in Next Generation Cyber Security - A Literature Review

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The Influence of Digitization on the Dissemination of Traditional Chinese Music and Weibo Content Propagation Under Deep Learning

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