Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach
Lee J, Murthy D, Ouellette R, Anand T, Kong G. Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach. Substance Use & Misuse 2024, 60: 677-683. PMID: 40019898, PMCID: PMC11871408, DOI: 10.1080/10826084.2024.2447415.Peer-Reviewed Original ResearchConceptsImage clustering approachImage clustering modelsState-of-the-artE-cigarette-related contentMachine learning approachSocial media dataImage clusteringAnalysis of visual dataSocial media platformsVisual dataLearning approachMedia dataClustering approachMedia platformsImage-based social media platformsQualitative evaluationSocial mediaImage-based analysisImagesTikTokCluster modelUnsupervisedVideoClustersCloudUsing Computer Vision to Detect E-cigarette Content in TikTok Videos
Murthy D, Ouellette R, Anand T, Radhakrishnan S, Mohan N, Lee J, Kong G. Using Computer Vision to Detect E-cigarette Content in TikTok Videos. Nicotine & Tobacco Research 2024, 26: s36-s42. PMID: 38366342, PMCID: PMC10873490, DOI: 10.1093/ntr/ntad184.Peer-Reviewed Original ResearchConceptsE-cigarette-related contentSocial media platformsVideo-based social media platformsMedia platformsComputer vision modelsAverage F1 scoreComputer vision methodsComputer vision techniquesMachine learning modelsText-based approachComputer visionObject detectionAnnotated imagesVisual contentSocial mediaF1 scoreVision techniquesRecall valuesVision methodsVision modelsSocial media platformLearning modelsVideoComputerTikTok posts
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply