Oyindamola Koleoso
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Researcher
Also affiliated: Cosmos Corporation (United States) (2024)
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Oyindamola Koleoso's research focuses on the application of computational techniques to analyze textual data. Their work includes developing improved clustering methods for textual information and investigating the impact of hyperlinks within blog content, particularly through an emotion-centric lens. Koleoso has published three papers, with their most recent work appearing in 2024. Their scholarship metrics include an h-index of 1 and a total of 3 citations. Koleoso collaborates with several researchers at the University of Arkansas at Little Rock, including Mustafa Alassad, Stella Mbila-Uma, and Ifeanyichukwu Umoga, with whom they share two co-authored publications.
Metrics
- h-index: 1
- Publications: 3
- Citations: 3
Selected Publications
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Toward Improved Clustering for Textual Data (2024)
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The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach (2024)
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The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach (2024)
Collaboration Network
Top Collaborators
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
- Toward Improved Clustering for Textual Data
- Toward Improved Clustering for Textual Data
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