CSV files containing the coherence scoring pertaining to datasets of:
DocumentCount = 5,000
Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws]
SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus
Coherence was scored across every combination of:
Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric]
Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
The columns in this file include:
Validation_Set: Which search term this scoring pertains to
Topics: Number of topics in the model
Alpha: Hyperparameter alpha selection from the 6 options above
Beta: Hyperparameter beta selection from the 6 options above
Coherence: The topic coherence score for the given model-row
Perplexity: The perplexity score for the given model-row
Betweenness centrality is a measure of centrality in a network based on shortest paths.
The data files in this collection are for datasets:
Document Count: 5,000 documents
Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc)
Search Term: (one of) Climate / Earth / Environmental / Pollution
Networked Models at Topic Counts: 15, 20
The Cincinnati Romance Review is a peer-reviewed electronic journal published by the Department of Romance and Arabic Languages and Literatures of the University of Cincinnati. The journal was founded in 1981-82 and has been published electronically since 2008.
Recent issues of the Cincinnati Romance Review are available at: http://www.artsci.uc.edu/crr.html.
DAAP THINKS is a collection of scholarly research and creative work from the faculty and graduate students in the College of Design, Architecture, Art, and Planning. Aside from conducting project based research, this collection also showcases other forms of scholarly research and creative work within the college; publications, research findings, artifacts, digital based applications, etc.
This work showcases the research, innovation and collaboration based on the five research areas within DAAP:
• Urban Systems
• Health & Wellbeing
• Creative Entrepreneurship
• Digital Culture
• Sustainable Living
Web site devoted to documenting and describing the Greater Cincinnati region's Modernist architecture, with a focus on the collection at the Design, Architecture, Art, and Planning Library at the University of Cincinnati.
Goal: Identify students interested in Family Medicine to help target limited resources for their support
Research Question: Could artificial intelligence help identify students interested in or suited for Family Medicine?
Through narrative inquiry, preservice art educators in the School of Art at the College of Design, Art, Architecture, and Planning at the University of Cincinnati, use their own biographic narrative as data to understand the nature of their educational experience and to project a better approach to that educational experience in their futures. Through narrative inquiry, they regressively reflect on their own social positions and synthesize that with their analysis of current experiences in the art education field. These future art teachers present their process of narrative inquiry that has evolved into a viable curricular approach they hope to implement in their future classrooms or schools. By reflecting on their position, privilege (or lack of privilege), and biases and synthesizing that with their current experience in the art education field, they questioned situations and events that led to further research.
This collection represents the presentations given on April 1, 2019 as part of the 4th annual UC Data Day that took place in the Tangeman University Center at the University of Cincinnati.
The collection contains all the presentations as power points if available or pdfs. However, access for some may be restricted to users with a UC 6+2 only.
Videos of the all presentations can be found on the STRC youtube channel at -
https://www.youtube.com/watch?v=cOl-ITkX1VQ – morning events
https://www.youtube.com/watch?v=I3f9vYaZfwE – afternoon events
The schedule for the day was:
9:00 – 9:30 Opening Remarks - Great Hall TUC 465
9:30 – 10:30 Keynote: The NIH All of Us Research Program: Supporting Data-Powered Health for Researchers, Participants, and Communities Amanda Wilson
10:30 – 10:45 Break
10:45 – 12:15 Panel Session Health Equities/Disparities - Great Hall TUC 465
Dr. Sarah Pickle
12:15 – 1:30 Lunch Service Providers available for one-one discussion - Great Hall TUC 465
1:30 – 3:00 Panel Session Data Empowering Social Justice - Great Hall TUC 465
Concurrent Power Session – TUC 400 B/C
Interactive mapping of social vulnerability caused by climate change using R
3:00 – 3:15 Break
3:15 – 4:15 Keynote: Big Data For or Against Health Disparities Deborah Duran Great Hall TUC 465
4:15 – 4:30 Closing Remarks Great Hall TUC 465
More information can be found at the event website - http://libapps.libraries.uc.edu/blogs/dataday/