Musixmatch AI uses the state of the art word embedding and text analysis algorithms to capture similarities among different concepts expressed in lyrics. We know what the lyrics are saying, but do we know what they mean to say? We’re doing this through Machine Learning and Deep Learning algorithms, trained by our immense community of 30 mln users. We’re building this in order to classify emotions in the lyrics contents to know if they include things like anger, fear, joy or sadness, etcįurther down the line, Musixmatch AI will detect and interpret sentiment, social tendencies, language styles and meanings in song lyrics, helping to analyze the messages that artists express in their songs. To achieve this, we are analyzing more than 14 million lyrics from our catalog, in more than 50 languages, and matching each one of them with a tone. Our goal is to build a system that delivers sentiment based on the content of the lyrics. Text Analysis of Starboy by The Weeknd The secret emotion of lyrics That’s why today we are announcing Musixmatch AI - the first publicly available large-scale lyrics datasets for Music Information Retrieval. And lyrics are the context needed in AI to analyze music sentiment. Music is one of the most contextual personal experiences that exist. For instance, “ Good Day” from Nappy Roots, is clearly a happy rap tune. Just because a track is classified as “rap” doesn’t mean it is an angry song. Another music classification system started way before: the genre.Īnother bug in the music classification as genres do not dictate the mood of a song: a pop song can be relatively sad - take The Killers “ All These Things That I’ve Done”, for example. To get the differences try reading the lyrics for the 3 different tracks. An example: “ Killing me Softly” by the Fugees, Snoop Dogg’s “ Drop it Like It’s Hot” and Radiohead’s “ Creep” have the exact same BPM. The tempo of the music doesn’t necessarily relate to the mood of the song. This has been a good start, but a fairly basic one. Historically, all the music services have been using BPM (beats per minute) analysis to classify and recommend tracks. Happy to run to? Or happy to enjoy it with my kids? Happy for a Friday night with friends? Today, we are announcing a big stride that we are taking in order to answer this question. “(Because I’m happy), Clap along if you know what happiness is to you”Īnalysing music has always been a challenge. Introducing Musixmatch AI: the new Music Intelligence
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