In a recent previous investigation of national anthems, preferred topics and their bias (e.g., towards identity, fighting, or well-being) were identified subjectively (Silaghi-Dumitrescu, 2020). The present report aims to verify whether a more objective, automated, comparison of the texts of national anthems across the world can also reveal systematic trends - and to what extent. To this end, the Tropes and Semantria software packages are employed, revealing preferred topics (e.g., state, feeling, body, time, land, religion, family, fight), how their relative weights differ across continents and cultures, and how the conveyed sentiments vary. For instance, "liberty" is more common in Latin-country anthems while almost absent in Asia, "feelings" are less mentioned in Germanic-language anthems, and the first-person singular "I" is essentially absent African anthems. The sentiment scores of the anthems vary from neutral in Latin and Mediterranean anthems to much more positive in Central and Western Asian, Germanic and Slavic countries.
Keywords: Feeling; Language; Liberty; National anthem; Statistical analysis.
© 2023 The Author.