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With the advent of sophisticated computer technology, we increasingly see the use of computational techniques in the study of problems from a variety of disciplines, including the humanities. In a field such as poetry, where classic works are subject to frequent re-analysis over the course of years, decades, or even

With the advent of sophisticated computer technology, we increasingly see the use of computational techniques in the study of problems from a variety of disciplines, including the humanities. In a field such as poetry, where classic works are subject to frequent re-analysis over the course of years, decades, or even centuries, there is a certain demand for fresh approaches to familiar tasks, and such breaks from convention may even be necessary for the advancement of the field. Existing quantitative studies of poetry have employed computational techniques in their analyses, however, there remains work to be done with regards to the deployment of deep neural networks on large corpora of poetry to classify portions of the works contained therein based on certain features. While applications of neural networks to social media sites, consumer reviews, and other web-originated data are common within computational linguistics and natural language processing, comparatively little work has been done on the computational analysis of poetry using the same techniques. In this work, I begin to lay out the first steps for the study of poetry using neural networks. Using a convolutional neural network to classify author birth date, I was able to not only extract a non-trivial signal from the data, but also identify the presence of clustering within by-author model accuracy. While definitive conclusions about the cause of this clustering were not reached, investigation of this clustering reveals immense heterogeneity in the traits of accurately classified authors. Further study may unpack this clustering and reveal key insights about how temporal information is encoded in poetry. The study of poetry using neural networks remains very open but exhibits potential to be an interesting and deep area of work.
ContributorsGoodloe, Oscar Laurence (Author) / Nishimura, Joel (Thesis director) / Broatch, Jennifer (Committee member) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Elizabeth Grumbach, the project manager of the Institute for Humanities Research's Digital Humanities Initiative, shares methodologies and best practices for designing a digital humanities project. The workshop will offer participants an introduction to digital humanities fundamentals, specifically tools and methodologies. Participants explore technologies and platforms that allow scholars of all

Elizabeth Grumbach, the project manager of the Institute for Humanities Research's Digital Humanities Initiative, shares methodologies and best practices for designing a digital humanities project. The workshop will offer participants an introduction to digital humanities fundamentals, specifically tools and methodologies. Participants explore technologies and platforms that allow scholars of all skills levels to engage with digital humanities methods. Participants will be introduced to a variety of tools (including mapping, visualization, data analytics, and multimedia digital publication platforms), and how and why to choose specific applications, platforms, and tools based on project needs.
ContributorsGrumbach, Elizabeth (Author)
Created2018-09-26
Description

The purpose of this thesis was to understand the importance of supply chain visibility (SCV) and to provide an analysis of the technology available for achieving SCV. Historical events where companies lacked efficient SCV were assessed to understand how errors in the supply chain can have detrimental effects on a

The purpose of this thesis was to understand the importance of supply chain visibility (SCV) and to provide an analysis of the technology available for achieving SCV. Historical events where companies lacked efficient SCV were assessed to understand how errors in the supply chain can have detrimental effects on a company and their reputation. Environmental, social, and governance standards within the supply chain were defined along with the importance of meeting the legal and consumer expectations of a supply chain. There are many different organizations dedicated to helping companies meet ESG standards to achieve ethical, sustainable supply chains. Examples such as the Responsible Business Association and the Organization for Economic Co-Operation and Development were considered. A government solution to SCV, called the Freight Logistics Optimization Works Initiative, considered the importance of data sharing for large companies with complex supply chains, and this solution was assessed for understanding. Current companies and technologies available to achieve SCV were examined for understanding as to how the issue of SCV is currently addressed in the industry. A case study on the company Moses Lake Industries looked at how their complicated chemical manufacturing supply chain has adapted to achieve SCV. This included understanding supplier location, manufacturing processes, and risks. Future technologies that are currently being developed which could further benefit the supply chain industry were considered. Other future considerations, such as the movement of manufacturing out of high risk areas and the need for centralization of SCV solution, were also discussed.

ContributorsWhite, Lily (Author) / Bronowitz, Jason (Thesis director) / Grumbach, Elizabeth (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Chemical Engineering Program (Contributor)
Created2023-05