Classifying ETDs

Shah, Vedant; Ramesh, Vaishali; Daniel, Reema; Gathani, Mihir D.

Classifying ETDs

dc.contributor.author	Shah, Vedant	en
dc.contributor.author	Ramesh, Vaishali	en
dc.contributor.author	Daniel, Reema	en
dc.contributor.author	Gathani, Mihir D.	en
dc.date.accessioned	2023-07-05T17:43:20Z	en
dc.date.available	2023-07-05T17:43:20Z	en
dc.date.issued	2023-05-17	en
dc.description.abstract	Electronic Theses and Dissertations (ETDs) are academic documents that provide an in-depth insight into an account of the research work of a graduate student and are designed to be stored in machine archives and retrieved globally. These documents contain abundant information that may be utilized by various machine learning tasks such as classification, summarization, and question-answering. However, these documents often have incomplete, incorrect, or inconsistent metadata which makes it challenging to accurately categorize these documents without manual intervention since there is no one uniform format to develop the metadata. Therefore, through the Classifying ETDs capstone project, we aim to create a gold standard classification dataset, leverage machine learning and deep learning algorithms to automatically classify ETDs with missing metadata, and develop a website to allow a user to classify an ETD with missing metadata and view already classified ETDs. The expected impact of this project is to advance information availability from long documents and eventually aid in improving long document information accessibility through regular search engines.	en
dc.description.notes	ClassifyingETDsWebsiteDemo.mp4 - It is the demo of the website for the ClassifyingETDs project in .mp4 format. ClassifyingETDsPresentation.pptx - It is the final project presentation for the ClassifyingETDs project in .pptx form. ClassifyingETDsPresentation.pdf - It is the final project presentation for the ClassifyingETDs project in .pdf form. ClassifyingETDsReport.pdf - It is the final project report for the ClassifyingETDs project in .pdf form. ClassifyingETDsReport.docx - It is the final project report for the ClassifyingETDs project in .docx form.	en
dc.identifier.uri	http://hdl.handle.net/10919/115647	en
dc.language.iso	en_US	en
dc.publisher	Virginia Tech	en
dc.subject	Gold Standard ETD Classification Dataset	en
dc.subject	Deep Learning	en
dc.subject	Text Classification Models	en
dc.subject	Interactive User Interface	en
dc.subject	Data Cleaning	en
dc.title	Classifying ETDs	en
dc.type	Presentation	en
dc.type	Report	en
dc.type	Video	en