About the Project

This dashboard presents a data analysis tracking brand name mentions in Russian chart music. The project analyzes brand representation and frequency over time.

  • Corpus Collection: The database was compiled from chart archives, including TopHit, and music websites.
  • AI Processing: Large Language Models (LLMs) matched free-text artist and song names with lyrics from APIs, identified brand mentions, resolved slang, and mapped aliases.
  • Data Enrichment: Extracted entities were enriched with metadata, such as brand categories and corporate affiliations.
  • Open Data Licensing: The annotated corpus and aggregated dataset are made available for academic research under a Creative Commons (CC BY 4.0) license.

Developed as a Master's project at HSE University's Digital Humanities programme.

Top Categories of Mentioned Brands

Top Genres Featuring Brands

All-Time Top 10 Mentioned Brands

% of Songs with Any Brand Mention

% of Songs with Western/Abroad Brands

% of Songs with Domestic/CIS Brands

Average MTLD by Genre

Genre Summary Statistics

Genre Songs Brand Mentions % Songs w/ Mentions Min / Med / Max Chars Min / Med / Max Words

Top Brands & Popular Forms

Brand Total Songs Top 5 Mention Forms

Lyrics Database

Origins: WST = Western/Abroad DOM = Domestic CIS = CIS
Year Platform Artist Song Genre Mentions Mapping Lyrics