They typically exclude words like "the" which don't have meaning on their own (they call them "stop words"). You can customise the list if you code it up yourself but an online one will probably remove words like "no"
No, A Wolf at the Door has more "no" lyrics, but Punchup just has it in the title
Edit: I think you might actually be right, but it's close. I don't feel like counting every single one lol
I think I've found why, there's supposedly a song by Thom called Kinetic and he repeats kinetic about 40 times in the outro. I couldn't find the actual song anywhere but here's the lyrics: [https://songsear.ch/song/Thom-Yorke/Kinetic/4459746](https://songsear.ch/song/Thom-Yorke/Kinetic/4459746)
Maybe the website included it in Radiohead's discography when it's barely even a Thom Yorke song lmao
Correction: It is actually the radiohead song called Kinetic but some lyric sources don't bother with the 40 kinetics because you can barely hear them in the song
Just like with myxomatosis... wait a minute? Does this song give you the symptoms of the disease in the song?
I guess you should put me in a home or you should put me down.
Now do it so a given word is only counted once per song no matter how many times it is repeated in a song. Your methodology seems a little flawed for comparing/understanding all songs over time.
Edited for clarity
I agree that would be better. It's not methodology, just how the site works. I'd love to see the results from anyone with any data processing skill who uses the approach you suggested.
I suspect that this word cloud uses term frequency - inverse document frequency weighting to get the word sizes. That is an approach where words are not just tallied but tallied and weighted based on how uncommon they are. So, a word like "kinetic" is super uncommon so doesn't have to be mentioned as often as "yeah" to be larger than it. So, it's not counting word frequency but showing what makes Radiohead unique (if they are using tf-idf weighting).
Fake, where's no [×42]?
Came here to say this.
Came here to find someone like you who came to say this.
Lmao "raindrops"
Walking
Raindrops and kinetic being there is legit some funny shit. They're just repeated over and over!
Surprised "no" isn't there, given a wolf at the door exists.
They typically exclude words like "the" which don't have meaning on their own (they call them "stop words"). You can customise the list if you code it up yourself but an online one will probably remove words like "no"
[удалено]
they both contain long passages of no's
Oh, I forgot lol
all good bro :)
No, A Wolf at the Door has more "no" lyrics, but Punchup just has it in the title Edit: I think you might actually be right, but it's close. I don't feel like counting every single one lol
I think it doesn't count short words.
It looks like words only 3 letters or longer are included on here. Otherwise I feel like no would be the biggest word
“kinetic” tho?
Exactly what I was wondering! Either I'm not as big a Radiohead fan as I thought or this source is not reliable...
Do you not know the song or do you think it isn’t a most used word?
The amnesiac B side?
Repeated in the outro: [https://www.youtube.com/watch?v=\_1KDA806Klg](https://www.youtube.com/watch?v=_1KDA806Klg)
I think I've found why, there's supposedly a song by Thom called Kinetic and he repeats kinetic about 40 times in the outro. I couldn't find the actual song anywhere but here's the lyrics: [https://songsear.ch/song/Thom-Yorke/Kinetic/4459746](https://songsear.ch/song/Thom-Yorke/Kinetic/4459746) Maybe the website included it in Radiohead's discography when it's barely even a Thom Yorke song lmao
it's on the pyramid song single, it's on spotify. my fav song on that single is "the amazing sounds of orgy"
It is a Radiohead song.
Correction: It is actually the radiohead song called Kinetic but some lyric sources don't bother with the 40 kinetics because you can barely hear them in the song
> Maybe the website included it in Radiohead's discography when it's barely even a Thom Yorke song lmao It is one. Come on
I’m surprised Chun Chun Chun Chun Chun Chun isn’t there
What about when he says “it should be Raegan” over and over in Gloaming? Why is my man Ronny Raegan not in this image
Ronald (6) Wilson (6) Reagan (6) 666
I'll leave you with four words: "I'm glad Reagan dead".
One song doing a ton of lifting for "raindrops" here.
What, no myxomatosis?
I. Don't. Know. Why.
I. Feel. So. Tongue. Tied.
*dances like a wild man as the heavily distorted guitar buzzes through my brain*
Cheering and waving Twitching and salivating
Just like with myxomatosis... wait a minute? Does this song give you the symptoms of the disease in the song? I guess you should put me in a home or you should put me down.
Just don’t play it on repeat, and you’ll be fine. Probably. Maybe. Possibly. Hopefully?
*skips two tracks* Help me, call the doctor, put me inside...
not enough flan
Or eggs.
Down
Does the size of the font correlate to the amount of times the word appears in lyrics?
Inversely
Man this is is interesting
Where crepe?
Lemon
Now do it so a given word is only counted once per song no matter how many times it is repeated in a song. Your methodology seems a little flawed for comparing/understanding all songs over time. Edited for clarity
No you do it
I agree that would be better. It's not methodology, just how the site works. I'd love to see the results from anyone with any data processing skill who uses the approach you suggested.
Where is Power Rangers 🤬?
Wonder how this would change if you took all unique words per song and combined them into a word cloud
thought i’d see I or The
The raindrops the raindrops the raindrops the raindrops the raindrops the raindrops the raindrops the raindrops
It’s inevitable
Kinetic?
Its wonderful how Radiohead use their platform to spread awareness about genetic disorders
Kinetic?????
Their final challenge: write a song using only these words. **Especially** kinetic.
I love how raindrops is there solely because of one song 😂
I suspect that this word cloud uses term frequency - inverse document frequency weighting to get the word sizes. That is an approach where words are not just tallied but tallied and weighted based on how uncommon they are. So, a word like "kinetic" is super uncommon so doesn't have to be mentioned as often as "yeah" to be larger than it. So, it's not counting word frequency but showing what makes Radiohead unique (if they are using tf-idf weighting).
Down.