O
Oyindamola Koleoso Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
1 h-index
3 pubs
3 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Oyindamola Koleoso, a graduate student researcher at the University of Arkansas at Little Rock, focuses on computational methods for extracting insights from textual data. Her work encompasses topic modeling, sentiment analysis, and complex network analysis, with applications in web visibility and informetrics. Koleoso's recent work explores the impact of hyperlinks in blogs, taking an emotion-centric approach. She also focuses on improved clustering methods for textual data.
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
Stella Mbila-Uma
University of Arkansas at Little Rock
2 shared publications
In database
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
Ifeanyichukwu Umoga
University of Arkansas at Little Rock
2 shared publications
In database
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
Mustafa Alassad
University of Arkansas at Little Rock
2 shared publications
In database
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
Nitin Agarwal
University of Arkansas at Little Rock
2 shared publications
In database
- The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
- The Multi-attribute Impact of Hyperlinks in Blogs: An Emotion-Centric Approach
Ridwan Amure
University of Arkansas at Little Rock (US)
1 shared publication
- Toward Improved Clustering for Textual Data
Abiola Akinnubi
University of Arkansas at Little Rock
1 shared publication
In database
- Toward Improved Clustering for Textual Data