Performing sentiment analysis to trace the history of identity and belonging in ancient Greek literature.
This paper presents a Natural Language Processing approach for the in-depth study of ancient Greek literature. Specifically, our project mines the largest data collection of ancient Greek literature to extract descriptive words and their contextual collocations. We then present the Python libraries...
| Publicado en: | Digital Scholarship in the Humanities Vol. 40; pp. 1019 - 1026 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
2025 Supplement
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=182368572&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 182368572 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: 2025 Supplement vid: 40 pid: 622 pub: Oxford University Press / USA artinfo: ui: 182368572 10.1093/llc/fqae048 ppf: 1019 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P size: 768KB tig: atl: Performing sentiment analysis to trace the history of identity and belonging in ancient Greek literature. aug: au: Bozia, Eleni Stein, Austin Bowman, Wavid Gjineci, Annie Vilela, Gillian Hracho, Zachary Prasad, Rohan Owji, Neema Saririan, Niloufar Burrowes, Aidan Jain, Aarushi Stevens, Nitaicandra affil: Classics, University of Florida, Gainesville, FL 32611, United States Data-Driven Humanities Research Group, University of Florida, Gainesville, FL 32611, United States su: Natural language processing Ancient literature Greek literature Sentiment analysis Grammatical gender sug: subj: Natural language processing Ancient literature Greek literature Sentiment analysis Grammatical gender keyword: ancient Greek literature Natural Language Processing sentiment analysis ab: This paper presents a Natural Language Processing approach for the in-depth study of ancient Greek literature. Specifically, our project mines the largest data collection of ancient Greek literature to extract descriptive words and their contextual collocations. We then present the Python libraries developed to perform sentiment analysis with a focus on words about gender, race, religion, ethnicity, and other distinguishable characteristics and how they were used by Greek authors. Finally, we showcase some initial findings as a proof of concept. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
|---|