EKa’a | إيقاع
Eka'a is a research project that analyzes song lyrics to identify patterns in how music portrays life, relationships, and recurring themes.
The project starts with contemporary Arabic music, with a broader goal of building datasets covering diverse artists and musical contexts across the Global South.
Special Thanks to:
Stories
Project Main Information
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The articles were collected using a crawler that allowed us to scrape lyrics from sites specialized in collecting them, which allowed for safe and systematic gathering. As this project’s dataset is created on-demand, we only scrape data related to the article requested. The dataset includes only materials available online.
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The analysis relied on Association Rule Mining (ARM), implemented through the Apriori algorithm. Songs were separated into verses, in order to create a unit that can be analyzed methodologically
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Yes, the dataset is accessible to all journalists, researchers, and activists interested in the topic, on demand, please reach out via email: contact@anmat.media
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As this project’s datasets is created on demand, we intend to release data every 6 months in order to create sufficient data for broader analysis each time, but you can always ask for the dataset of a certain singer that we have already analyzed via:
Contact@anmat.media