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...

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Detalles Bibliográficos
Publicado en:	Digital Scholarship in the Humanities Vol. 39; no. 4; pp. 1019 - 1026
Autores principales:	Bozia, Eleni, Stein, Austin, Bowman, Wavid, Gjineci, Annie, Vilela, Gillian, Hracho, Zachary, Prasad, Rohan, Owji, Neema, Saririan, Niloufar, Burrowes, Aidan, Jain, Aarushi, Stevens, Nitaicandra
Formato:	Artículo
Publicado:	Oxford University Press / USA Dec2024
Materias:	Natural language processing Greek literature Ancient literature Sentiment analysis Grammatical gender
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.