Zane Turner
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.
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Biography and Research Information
OverviewAI-generated summary
Zane Turner's research investigates the application of Natural Language Processing (NLP) techniques for financial market prediction. His work has focused on using lexicon-based sentiment analysis to forecast stock movements. Turner has co-authored publications with Susan Gauch and Kevin Labille, both from the University of Arkansas at Fayetteville, indicating collaborative efforts within the institution. His academic profile includes a h-index of 2 and a total of 3 publications, with 18 citations. Turner's most recent publication was in 2021, signifying recent activity in his research area.
Metrics
- h-index: 2
- Publications: 3
- Citations: 18
Selected Publications
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Lexicon-based sentiment analysis for stock movement prediction (2021)
Collaboration Network
Top Collaborators
- Lexicon-based sentiment analysis for stock movement prediction
- Lexicon-based sentiment analysis for stock movement prediction
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