Litcius/Paper detail

Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences

Paraskevas Koukaras, Christos Tjortjis, Dimitrios Rousidis

2022Information Systems34 citationsDOIOpen Access PDF

Topics & Concepts

Latent Dirichlet allocationComputer scienceAssociation rule learningSocial mediaIdentification (biology)Topic modelExploitWord (group theory)Data scienceVisualizationSentiment analysisAssociation (psychology)Coronavirus disease 2019 (COVID-19)Information retrievalData miningArtificial intelligenceWorld Wide WebMedicinePhilosophyDiseaseBotanyLinguisticsInfectious disease (medical specialty)Computer securityBiologyPathologyEpistemologySentiment Analysis and Opinion MiningComplex Network Analysis TechniquesAdvanced Text Analysis Techniques
Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences | Litcius