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Articles 1 - 3 of 3
Full-Text Articles in Library and Information Science
The Budget Proposal As A Constructive Collections Engagement Tool And Practice, Evan Rusch, Pat Lienemann, Heidi J. Southworth, Nat Gustafson-Sundell
The Budget Proposal As A Constructive Collections Engagement Tool And Practice, Evan Rusch, Pat Lienemann, Heidi J. Southworth, Nat Gustafson-Sundell
Library Services Publications
At Minnesota State University Mankato (MNSU), our story might sound familiar. After more than a decade of flat or decreased budgets, we have cancelled hundreds of journal subscriptions and numerous journal packages. We do occasionally add journals, but only by cancelling others. We often say we are “managing library decline,” and our primary objective is to cut cleanly and accurately, so that we can continue to support accreditation and an evolving curriculum. Over the years, we have developed various tools to guide our cuts and we have demonstrated these at NASIG and elsewhere. These tools have also served for collection …
Develop An Interactive Python Dashboard For Analyzing Ezproxy Logs, Andy Huff, Matthew Roth, Weiling Liu
Develop An Interactive Python Dashboard For Analyzing Ezproxy Logs, Andy Huff, Matthew Roth, Weiling Liu
Faculty Scholarship
This paper describes the development of an interactive dashboard in Python with EZproxy log data. Hopefully, this dashboard will help improve the evidence-based decision-making process in electronic resources management and explore the impact of library use.
Tapping Twitter Data For Analyzing And Visualizing Public Sentiments On Censorship, Naveen Kumar Yadav, Akhilesh K.S. Yadav
Tapping Twitter Data For Analyzing And Visualizing Public Sentiments On Censorship, Naveen Kumar Yadav, Akhilesh K.S. Yadav
Library Philosophy and Practice (e-journal)
The main objective of this research study is to analyse and visualize Twitter data with tags “#Censorship”. A connection was established with twitter using Twitter API, and receiving the tweets on Google Spreadsheets. Data visualization was performed using various tools such as Voyant Tools, Tableau, Google Spreadsheet and Orange in order to generate different visualizations based upon, language, geographical areas, retweets etc. The sentiment analysis was performed for the sentiments that were attached to the given set of data by the public in their respective tweets. The 23680 tweets were retrieved during the data collection time and there were 13,771 …