Performing sentiment analysis to trace the history of identity and belonging in ancient Greek literature

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A853QDVES" target="_blank" >RIV/00216208:11320/26:853QDVES - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209547307&doi=10.1093%2Fllc%2Ffqae048&partnerID=40&md5=d6fc5983eb6bbdb287f850d7a5848cb8" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209547307&doi=10.1093%2Fllc%2Ffqae048&partnerID=40&md5=d6fc5983eb6bbdb287f850d7a5848cb8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/llc/fqae048" target="_blank" >10.1093/llc/fqae048</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performing sentiment analysis to trace the history of identity and belonging in ancient Greek literature

Popis výsledku v původním jazyce

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. © 2024 Elsevier B.V., All rights reserved.

Název v anglickém jazyce

Performing sentiment analysis to trace the history of identity and belonging in ancient Greek literature

Popis výsledku anglicky

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. © 2024 Elsevier B.V., All rights reserved.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Digital Scholarship in the Humanities

ISSN

2055768X

e-ISSN

20557671

Svazek periodika

39

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

1019 - 1025

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85209547307