Gibson Nkhata
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Researcher
Faculty Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Gibson Nkhata's research focuses on natural language processing and machine learning applications. His work includes developing and analyzing systems for sentiment analysis, rumor verification, and emotional support. Nkhata has investigated the use of models like BERT for sentiment analysis in movie reviews and explored personalized retrieval-augmented generation through cluster-based collaborative filtering in his ClusterRAG work. He has also examined causal relationships related to author demographics in academic peer review and studied structural modeling for verifying rumors based on stance.
Further research interests include emotional support systems utilizing cognitive discourse analysis and transfer learning techniques, such as leveraging sarcasm detection for stance detection. Nkhata collaborates with fellow researchers Uttamasha Oyshi and Susan Gauch at the University of Arkansas at Fayetteville, with whom he has co-authored multiple publications.
Metrics
- h-index: 1
- Publications: 12
- Citations: 1
Selected Publications
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ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)
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Causal Analysis of Author Demographics in Academic Peer Review (2026)arXiv (Cornell University) OpenAlex
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Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis (2024)
Collaboration Network
Top Collaborators
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Causal Analysis of Author Demographics in Academic Peer Review
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Causal Analysis of Author Demographics in Academic Peer Review
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
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