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Trend Analysis Using Text Mining

Home / Project Briefing Pages / CNI Fall 2014 Project Briefings / Trend Analysis Using Text Mining

December 6, 2014

Sara Mannheimer
Data Management Librarian
Montana State University

Scott W.H. Young
Digital Initiatives Librarian
Montana State University

Zheng (John) Wang
Associate University Librarian, Digital Access, Resources, and Information Technology
University of Notre Dame

 

Using Sentiment Analysis of Twitter to Develop Strategies for Library Data Sharing Partnerships (Mannheimer, Young)

The Open Data movement has grown in recent years as data is increasingly seen as a valuable scholarly product that should be publicly available. Data as a public asset is further reflected by data management plan requirements from funding agencies and data archiving requirements for some academic journals. In this presentation, we will discuss the evolution of open data and present a sentiment analysis of Twitter that reveals the prevailing discipline-specific attitudes towards public data sharing. Sentiment analysis is the computational study of opinions and attitudes, as expressed in natural language with reference to a subject. In this case, we collaborated with computer scientists to investigate the subject of open data. Results from this research can encourage data sharing partnerships by guiding libraries in strategically aligning with departments that are most positive toward data sharing. This session aims to continue a conversation about open data in libraries that builds towards and encourages institution-wide data sharing.

 Presentation

Can Computational Methodologies Demonstrate Upward Trend of Religious Tolerance: What We Learned from a Quantitative Analysis of the Law of England Between 1649-1700 (Wang)

This session will provide a detailed narrative on Quantifying the State Trials, a collaborative project carried out between faculty and the Center for Digital Scholarship at the Hesburgh Libraries. The project sought to establish whether computational methodologies could provide new insights into the State Trials and thus advance research in the field of legal history. This general inquiry was driven by the faculty’s more specific research interest, namely, the relationship between religious tolerance and political economy in the period 1649-1700. This session will also offer a retrospective on the project methodology, technologies and tools, and team makeups and dynamics as an example to demonstrate possible factors contributing to the success of digital humanity projects.

Presentation

 

 

 

 

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Filed Under: CNI Fall 2014 Project Briefings, Digital Curation, Project Briefing Pages, Research Data Management, Social Media
Tagged With: cni2014fall, Project Briefings & Plenary Sessions

Last updated:  Friday, July 22nd, 2022

 

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