Vocabulary Size: considers the total number of unique words used in the lyrics of a decade.The aim of this section is to analyze the complexity of the vocabulary used in the lyrics and it groups the following parameters: 2020 especially was a year that saw a high number of female rappers such as Cardi B, Doja Cat, and Meghan Thee Stallion dominating the mainstream music and registering top positions in multiple charts around the world. Meanwhile, the higher value observed in the last decade is mainly due to a greater presence of women in a male-dominated music genre: RAP. The greater rhyming factor can be considered as a consequence of the genre variety that distinguished these years. The 90s were a decade characterized by the presence of different music genres, with pop artists such as Britney Spears and Christina Aguilera sharing the charts with rock bands such as The Cranberries and The Cardigans and experimental musicians like Björk. This parameter considers the basic song parts such as verse, chorus, and bridge up until extra parts such as pre-chorus, intro and outro, and hooks.Īs the below radar chart shows, while the song structure seems to have been quite ordinary up until the 80s, with a slight increase in its complexity between the 90s and the 2000s, the big difference has been recorded in the last decade. It’s a value that accounts for the complexity of the structure of the lyrics. The analysis is based on a set of 10 different parameters, for each of which we have examined the variation throughout the different decades. Our intelligent models are tuned on lyrics specifically and are trained to solve a wide range of lyrics-related tasks.Īs a result, we have created a unique pipeline for processing lyrics: we start from the raw text and extract all kinds of higher-level information, in the form of lyrics-based music metadata such as the one we are taking into consideration in the following paragraphs. Understanding of a written text, by machines, as well as the Information Retrieval from it, remain widely studied sub-problems of Natural Language Processing.įor this analysis we used a combination of both traditional Natural Language Processing techniques, together with the latest, more advanced Deep Language Models which enable computers to understand and simulate human language by exploiting a large amount of textual data. Using a data sample of more than 150 English lyrics, we created a profile for each decade, showing the evolution of the writing style of the female protagonists that have marked, the history of music, one word at a time.Ĭovering a broad variety of genres and singing styles, our data includes lyrics by artists such as the unsurpassed eclectic mind of Nina Simone, the Queen of Pop Madonna, Blondie, Tracy Chapman and also current stars like Adele, Doja Cat, Lady Gaga and Cardi B. The aim? Understand the changes of the women in music through their words. So on the occasion of International Women’s Day, we’ve decided to analyse the lyrics from the most famous songs by female artists from each decade, starting from the 60s until now. Back in 1997 Shania Twein sang “Man I Feel Like A Woman!” …but what exactly does it mean to feel like a woman?Īt Musixmatch we are on a mission to enhance the experience of listening to music and we know that words matter.
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