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Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning.

, , , and . J. Manag. Inf. Syst., 38 (1): 166-195 (2021)

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Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation., , and . JAMIA, 25 (1): 72-80 (2018)Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning., , , and . ICSH, volume 11924 of Lecture Notes in Computer Science, page 294-301. Springer, (2019)Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach., , , and . J. Manag. Inf. Syst., 41 (2): 546-580 (2024)E-VAN : Enhanced Variational AutoEncoder Network for Mitigating Gender Bias in Static Word Embeddings., , and . NLPIR, page 57-64. ACM, (2022)Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning., , , and . J. Manag. Inf. Syst., 38 (1): 166-195 (2021)Readmission Risk Prediction for Patients with Heterogeneous Hazard: A Trajectory-Aware Deep Learning Approach., and . ICIS, Association for Information Systems, (2018)Consumers' Purchase Intention of Online Product Customization Using Different Terminals with/without Default Template., , and . HCI (23), volume 9191 of Lecture Notes in Computer Science, page 403-413. Springer, (2015)What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media., , and . ICIS, Association for Information Systems, (2023)What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media., , and . HICSS, page 2455-2464. ScholarSpace, (2024)An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube., , and . HICSS, page 1-10. ScholarSpace, (2022)