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Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression.

, , , , , and . COLING, page 2196-2206. ACL, (2016)

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Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings., , , , , , , and . MIE, volume 316 of Studies in Health Technology and Informatics, page 1652-1656. IOS Press, (2024)An Overview of Computational Approaches for Analyzing Interpretation., , and . CoRR, (2018)Social media as a vector for youth violence: A review of the literature., , , , , , and . Comput. Hum. Behav., (2014)Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study., , , , , , and . J. Am. Medical Informatics Assoc., 29 (3): 512-519 (2022)Social work thinking for UX and AI design.. Interactions, 27 (2): 86-89 (2020)Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression., , , , , and . COLING, page 2196-2206. ACL, (2016)Multimodal Social Media Analysis for Gang Violence Prevention., , , , , , , , , and 2 other author(s). ICWSM, page 114-124. AAAI Press, (2019)Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing., , , , , and . AIES, page 337-342. ACM, (2020)Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions., , , , , , , and . J. Am. Medical Informatics Assoc., 29 (3): 576-580 (2022)