Master Thesis Lyrics Rap Genius

Master Thesis Lyrics Rap Genius-70
Rapping fire, you better run for the pacifier Tie you up and drown you in the saliva quagmire 'Til your oxygen expires and your lungs dry up Cause you said Bis ain't dope, you a damn liar Disaster for hire over beats by Kyros Flow like the Tigris, Euphrates with the eye of the tiger in my iris Canibus is a fighter Motherfucker, my great grandfather was Irish Let's roll the dices, I'll break you like young Tyson Give me the mic man, I don't need no hype man Put a thousand on me, put one on him I tear off his limbs, throw him in and tell him to swim Yo, I soak that sugar-coated shit in soy sauce Tell the FCC boss, turn that noise off Call Detroit's Mafia Boss Tell him, "Yo, I got a job for you, I want you to bust his balls" Drop him off by Niagara Falls Write my name on a banana and put the banana between his jaws Nobody disrespects lyrical law I'm the best there ever is and the best ever was Training like a grunt face down in the mud With blood, sweat, and tears, sucking it up Yo, you wonder where I am right now?D, graduated from UMG Bright as the LCD display on a new MP Prototype of a true MC With 3D topography maps you can't see Butcher on Broad Street, wrapping CD's In butcher paper, doing artwork with Sharpies If you don't like the quality, then talk to me What the fuck you on the website for you creep?To further analyze his versatility and musical evolution I set out to use machine learning to identify changing patterns within his music and create clusters (groupings) based on metrics of each song.

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The result here is a bit unclear, but I would argue there is a slight negative trend from 2013 onwards.

The increase we see in 2017 is likely due to being a compilation mixtape that featured many different artists.

Song Attributes: This analysis not only provided an in-depth look into Drake’s musical evolution, but also showed the power of machine learning.

A simple clustering model could accurately cluster a broad set of songs, and serve as the foundation to create personalized playlists and recommendations.

Overall though, I would say his lyricism has been largely unaffected.

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Rather than writing songs with fewer unique words, he found a sweet spot of between 50 to 55 unique words as evidenced by his 2018 double-album, , which had the most songs of any project (25) but smallest variance in word count.Cole, and compare their music against Drake or other pop artists to better understand how they differ both musically through data.[Intro] Doctor C [Verse 1] Yo, I plan to build a myself a facility before I'm forty A molecular archeogenetic laboratory That can analyze complex poetry data for me even if it was recorded poorly How extraordinary I frog leap over awkward beats Then I separate rappers by their Carbon-14's To determine the age of anything ever made Regardless of how the outside surface has changed I put a curse on your name, bombard your brain With gamma X-rays 'til you burst into flames With the scientifically quantifiable megalomaniacal viable style It's like trying to ride a bull Let's have a dictionary duel after school Check into me a nice Cedar Sinai room So I can get sick as the flu, spittin' the truth If you ain't got this album, you missing the proof Prepare for your doom my nuclear rocket plumes Glow against the pale background of the moon Toxic fumes spoil complete stocks of fruits and foods Burning your flammable boxes and booms Got in the groove even though I'm not in the mood Motherfucker you didn't win 'cause I can't lose Give the fans the chance to choose, fuck you! I'm probably somewhere on the microphone fucking it up Dead or alive, Canibus will live through the rhyme To be the illest on the mic is a mission of mine Spittin' divine, you can't get it twisted this time Vocal with a mirror to make sure my lips align Doctor C, Ph.In the decade since his critically acclaimed mixtape, The answer is versatility.Drake’s biggest strength is that he can seamlessly transition from hip-hop bravado to moody ballads that strike the perfect balance between sensitivity and relatability.However given Drake’s famed versatility and the scope of this analysis, it would be very boring to only have 3 groups of Drake songs.Instead, I went with the next ideal number, which was 5.I used a standard k-means clustering model on the following numerical data attributes: This cluster of songs best exemplify his signature style of moody R&B mixed with emotional rapping on top of muddy low-end bass drums.A popular style that’s influenced newer artists like Bryson Tiller, Amir Obe, 6lack and more.Clustering is a form of unsupervised machine learning that “identifies commonalities in the data and reacts based on the presence or absence of such commonalities”.In other words, it groups data points together through observed patterns.

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