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Abeed Sarker

  1. Towards Automatic Bot Detection in Twitter for Health-related Tasks
    2019/09/29 by Anahita Davoudi, Davoudi, Anahita, Ari Z Klein +7 · 1 citation
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Misinformation and Its Impacts #Social and Information Networks (cs.SI) #Spam and Phishing Detection #Topic Modeling #cs.CL #cs.SI
  2. Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
    2024/03/27 by Yuting Guo, Anthony Ovadje, Guo, Yuting +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies #Topic Modeling
  3. Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
    2024/05/09 by Yao Ge, Sudeshna Das, Ge, Yao +9 · 3 citations
    Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health via Writing
  4. Evaluating large language models for health-related text classification tasks with public social media data
    2024/08/09 by Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi +1 · 2 citations
  5. An Approach for Query-Focused Text Summarisation for Evidence Based Medicine
    2013/01/01 by Abeed Sarker, Diego Mollá, Cécile Paris · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Biomedical Text Mining and Ontologies #Computer science #Data Quality and Management #Information retrieval #Topic Modeling
  6. Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
    2024/02/02 by Seyedeh Somayyeh Mousavi, Yuting Guo, Mousavi, Seyedeh Somayyeh +5 · 1 citation
    Social Sciences · #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Health disparities and outcomes #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)