January 01, 2024 conference-paper Using Linguistic Features to Predict Social Media Engagement: Proposing an Approach Based on Machine Learning and Natural Language Processing Smart innovation, systems and technologies DOI: 10.1007/978-981-97-1552-7_27 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access The Data Science Revolution 2020 IFIP advances in information and communication technology book-chapter Social Sciences Ethics and Social Impacts of AI Open access 2 citations 1 result