2024
Infrared Data Generation Based on the IRGAN Model
Li X, Liu Y, He S, Wu L. Infrared Data Generation Based on the IRGAN Model. 2024, 00: 213-220. DOI: 10.1109/bigdia63733.2024.10808936.Peer-Reviewed Original ResearchSemantic segmentation dataInfrared datasetsSegmentation dataSupervised learning frameworkDeep learning techniquesCosine similarityLearning frameworkLearning techniquesData generationIRGANDatasetVisibility dataPerformance indicatorsPSNRLPIPSSSIMFSIMConversion techniqueSemanticsSceneCosineTechniqueModelCapabilityFrameworkConstructing Cross-Lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
Chang C, Wang L, Yang C. Constructing Cross-Lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content. 2024, 00: 275-284. DOI: 10.1109/ichi61247.2024.00043.Peer-Reviewed Original ResearchWord vector spaceOnline health communitiesConsumer health vocabularyOAC CHVHealth vocabularySkip-gram algorithmSemantically similar wordsConsumer-generated contentVector spaceUser Generated ContentMonolingual spacesIsometry assumptionSkip-gramRecognition frameworkWord embeddingsLanguage modelCosine similarityLanguageSimilar wordsEnglishNon-EnglishHuman effortVocabularyMedical translationMedical expressions
2023
Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts
Yang G, King S, Lin H, Goldstein R. Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts. Journal Of Medical Internet Research 2023, 25: e45267. PMID: 37467010, PMCID: PMC10398365, DOI: 10.2196/45267.Peer-Reviewed Original ResearchConceptsComputing cosine similaritySocial media websitesRaw textCosine similarityEmotion vectorText dataWeb-based communitiesVector representationPseudonymous usersMedia websitesCosine similarity analysisTopical categoriesTopic ForumEmotional resemblanceRedditWord frequencyHost discussionsSupport forumsAbstinence durationSimilarity analysisEmotional experienceSubjective experienceUsersEmotional expressionText
2021
Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis
Monselise M, Chang C, Ferreira G, Yang R, Yang C. Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis. Journal Of Medical Internet Research 2021, 23: e30765. PMID: 34581682, PMCID: PMC8534488, DOI: 10.2196/30765.Peer-Reviewed Original ResearchConceptsSentence bidirectional encoder representationsHighest volume of tweetsBidirectional Encoder RepresentationsNonnegative matrix factorizationSocial mediaVolume of tweetsPublic sentimentAuthoritative health informationEncoder RepresentationsCosine similaritySentiment analysisTopic modelsTransform embeddingGauge public sentimentAnalysis libraryMatrix factorizationTweetsDifferent topicsVaccination topicEmotional contentSentimentHealth informationIdentifying different typesEmbeddingNews events
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