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

Author:

Bozia Eleni1ORCID,Stein Austin2,Bowman Wavid2,Gjineci Annie2,Vilela Gillian2,Hracho Zachary2,Prasad Rohan2,Owji Neema2,Saririan Niloufar2,Burrowes Aidan2,Jain Aarushi2,Stevens Nitaicandra2

Affiliation:

1. Classics, University of Florida , Gainesville, FL 32611, United States

2. Data-Driven Humanities Research Group, University of Florida , Gainesville, FL 32611, United States

Abstract

Abstract 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.

Funder

University of Florida

Publisher

Oxford University Press (OUP)

Reference32 articles.

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