Andrew Mackey
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Pennsylvania State University (2024); Lake Superior College (2023); Mondelēz International (United States) (2017); Protia (United States) (2024); Samarkand State Architectural and Civil-Engineering Institute (2024); JustCommunity (2024); University of Guelph (2017–2020)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Andrew Mackey's research interests encompass the application of machine learning and artificial intelligence to various domains. He has explored emotion analysis in text, including contrastive learning for conversational emotion recognition and prompt distillation techniques. His work also extends to practical applications, such as investigating virtual reality design features to enhance the efficiency and accuracy of electrical workforce training. Additionally, Mackey has contributed to the study of field-testing procedures on metallic pipelines in proximity to high-voltage direct current powerlines. His scholarly output includes 28 publications, with an h-index of 7 and a total of 339 citations. He has collaborated with Susan Gauch, Israel Cuevas, and Kevin Labille at the University of Arkansas at Fayetteville.
Metrics
- h-index: 7
- Publications: 27
- Citations: 342
Selected Publications
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Emotion Analysis and Neural Language Models for Classification (2025)Journal of the Arkansas Academy of Science OpenAlex
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Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models (2025)
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Prompt Distillation for Emotion Analysis (2024)
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Scalable processing of massive text data stores for NLP (2019)Journal of computing sciences in colleges OpenAlex
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Automatic text summarization within big data frameworks (2018)
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Text categorization using distributed NoSQL databases (2018)Journal of computing sciences in colleges OpenAlex
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In-memory cluster computing for machine learning (2017)Journal of computing sciences in colleges OpenAlex
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Incorporating big data technology into computing curriculum: conference tutorial (2016)
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Enterprise systems: conference tutorial (2015)Journal of computing sciences in colleges OpenAlex
Collaboration Network
Top Collaborators
- Prompt Distillation for Emotion Analysis
- Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models
- Prompt Distillation for Emotion Analysis
- Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models
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