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In this project, I used natural language processing (NLP) techniques and k-means clustering to cluster a set of 190 national anthems based on their English lyrics to identify the patterns and themes shared by groups of countries with cultural or historical similarities.

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Verse-ing Together: Machine Learning Clusters National Anthems by Lyrics to Unite the World

In this project, I used natural language processing (NLP) techniques and k-means clustering to cluster a set of 190 national anthems based on their English lyrics and identify the patterns and themes shared by groups of countries with similar cultural or historical similarities by clustering them into different categories.

Paper:

The paper is avalable here: The Story of National Anthem Through Machine Learning

Abstract

In this study, we used natural language processing (NLP) techniques and k-means clustering to cluster a set of 190 national anthems based on their English lyrics. National anthems play a significant role in shaping a country's national identity and promoting unity and pride among its citizens. They are often used to express national values and ideals. In this paper, we will identify the patterns and themes that can be shared by groups of countries with similar cultural or political histories by clustering them into different categories. We first preprocess the lyrics of the national anthems by removing stop words and stemming the remaining words. We then use NLP techniques called Tf-Idf, which can help identify the most important words in a document or a collection of documents. Then We then used the k-means algorithm to cluster the anthems into five groups based on the similarity of their lyrics using the Tf-Idf vector of numbers. Then we tested and evaluated the performance of the model using exploratory data analysis method. Our results showed that the model was able to quite accurately group the national anthems into clusters that reflected shared themes and cultural influences. This study provides a novel approach to analyzing national anthems and has the potential to inform research on cultural and political trends, as well as to serve as a resource for educational applications for understanding what role does anthem play in a nation’s identity.

Background and Motivation:

Clustering national anthems into different categories based on their lyrics can provide insight into the themes and values that are important to a particular country. For example, some national anthems may focus on themes related to nature, such as the beauty of the country or the bravery of its people. Others may focus on themes related to the nation's history or cultural traditions. Still, others may focus on themes related to love and devotion to the nation or its leader. The motivation for this project was lyrical analysis of the national anthems, by clustering them, to identify patterns and themes that may be shared by groups of countries with similar cultural or political histories. This could give a new lens of how we perceive a national anthem reveals the factors that shape national identity from the anthem and can help gain a deeper understanding of the values and themes that are important to a particular country.

Presentation:

The link to powerpoint: Nation Anthem Classification Presentation

About

In this project, I used natural language processing (NLP) techniques and k-means clustering to cluster a set of 190 national anthems based on their English lyrics to identify the patterns and themes shared by groups of countries with cultural or historical similarities.

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