{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/78543"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/78543","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Foundations and Techniques for Computational Analysis: Working With the 16th and 17th Century English Prose Fiction Corpus","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Fernandez, Jonathan; 0000-0003-1269-3855"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["McCaffery, Stephen","English"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-10-26T02:55:07Z","date_published":"2018-10-26T02:55:07Z","updated_at":"2026-07-27T19:05:12Z","subjects":["English literature"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/78543","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["McCaffery, Stephen","English"]},{"key":"dc:creator","label":"Author","values":["Fernandez, Jonathan; 0000-0003-1269-3855"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-10-26T02:55:07Z","2018","2018-07-31 13:10:10"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["English literature"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/78543"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","This dissertation delineates and develops foundational work necessary to accomplish a computational analysis of 16th and 17th English prose fiction. The corpus of prose fiction in the period is defined. The work necessary to convert the corpus to plain-text, in a standardized and computationally useful form, is described in detail and is accomplished to a sufficient degree to permit meaningful statistical results. Examples are provided of the use of various tools – POS tagging, Topic Analysis, LSA techniques, Psychometrics – frequently used to work with large corpora. The theoretical basis for analyzing literary works of art is discussed with reference to the neuroscience & biological underpinnings of our use of words, language, and concepts of meaning. Because most computational techniques work at the level of individual words and chunks of words, problems with the techniques in relation to reading – specifically reading prose fiction – are discussed."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Foundations and Techniques for Computational Analysis: Working With the 16th and 17th Century English Prose Fiction Corpus"]}]}],"canonical_facts":{"dc:contributor":["McCaffery, Stephen","English"],"dc:creator":["Fernandez, Jonathan; 0000-0003-1269-3855"],"dc:date":["2018-10-26T02:55:07Z","2018","2018-07-31 13:10:10"],"dc:description":["Ph.D.","This dissertation delineates and develops foundational work necessary to accomplish a computational analysis of 16th and 17th English prose fiction. The corpus of prose fiction in the period is defined. The work necessary to convert the corpus to plain-text, in a standardized and computationally useful form, is described in detail and is accomplished to a sufficient degree to permit meaningful statistical results. Examples are provided of the use of various tools – POS tagging, Topic Analysis, LSA techniques, Psychometrics – frequently used to work with large corpora. The theoretical basis for analyzing literary works of art is discussed with reference to the neuroscience & biological underpinnings of our use of words, language, and concepts of meaning. Because most computational techniques work at the level of individual words and chunks of words, problems with the techniques in relation to reading – specifically reading prose fiction – are discussed."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/78543"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["English literature"],"dc:title":["Foundations and Techniques for Computational Analysis: Working With the 16th and 17th Century English Prose Fiction Corpus"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:12Z"}