DSpace Repository

Data augmentation for natural language text datasets

Show simple item record

dc.contributor.advisor Bittlingmayer, Adam Mathias
dc.contributor.author Vartanian, Anooshik
dc.date.accessioned 2022-03-03T08:21:10Z
dc.date.available 2022-03-03T08:21:10Z
dc.date.created 2018
dc.date.issued 2018
dc.identifier.uri https://dspace.aua.am/xmlui/handle/123456789/2143
dc.description Thesis and thesis presentation en_US
dc.description.abstract In this thesis, I explored the idea of using data augmentation for text datasets through developing a python application. Chapter one explains the problem statement and what I planned to achieve. Chapter two provides background information on definitions and tools used during the study. Chapter three focuses on the structure and contents of the python program as well as the features it provides. Chapter four is about the result of using the application on three datasets. Chapter five presents the summary and conclusion to the thesis, as well as some suggestions and improvements for future. en_US
dc.language.iso en_US en_US
dc.publisher American University of Armenia en_US
dc.subject 2018 en_US
dc.subject AUA en_US
dc.subject American University of Armenia (AUA) en_US
dc.subject Perturbation en_US
dc.subject Python en_US
dc.subject Natural language processing en_US
dc.subject Data augmentation en_US
dc.subject Text datasets en_US
dc.subject Machine learning en_US
dc.title Data augmentation for natural language text datasets en_US
dc.type Thesis en_US
dc.academic.department
dc.academic.department American University of Armenia--College of Science and Engineering


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account