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A novel machine learning framework for comparison of viral COVID-19–related Sina Weibo and Twitter posts : workflow development and content analysis
Title
A novel machine learning framework for comparison of viral COVID-19–related Sina Weibo and Twitter posts : workflow development and content analysis
Author
Chen, Shi, Zhou, Lina, Song, Yunya, Xu, Qian, Wang, Ping, Wang, Kanlun, Ge, Yaorong, Janies, Daniel
Date Created
2021
Subjects--Topical
COVID-19 (Disease), Twitter (Firm), Social media, Machine learning
Description
Background: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and comp...
Artivism, virtual workshops, and the pandemic
Title
Artivism, virtual workshops, and the pandemic
Author
Bennett, Adreonna
Date Created
2021
Subjects--Topical
Social justice, Photography, COVID-19 Pandemic (2020-), Academic libraries, Internet videoconferencing
Description
I was hired as a Community Engagement Archivist in the Special Collections and University Archives unit at J. Murrey Atkins Library, University of North Carolina at Charlotte in June 2019. Not only was this my first full time library job but it wa...
Cambridge women and the professional world : navigating gender conservatism in the late Victorian era
Title
Cambridge women and the professional world : navigating gender conservatism in the late Victorian era
Author
Dobbs, Olivia, Pipkin, Amanda (Amanda Cathryn)
Date Created
2021
Subjects--Topical
Sex role, Nineteenth century, Women in education
Description
During the late nineteenth century, British women received better education, especially at the university level. In particular, the University of Cambridge opened two women’s colleges, Girton College in 1869 and Newnham College in 1871. The establ...
Machine learning of spatial data
Title
Machine learning of spatial data
Author
Thill, Jean-Claude, Nikparvar, Behnam
Date Created
2021
Subjects--Topical
Machine learning, Geospatial data
Description
Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to...