Panning for Pangrams: The Search for the New Quick Brown Fox
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Panning for Pangrams: The Search for the New Quick Brown Fox
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Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#2As far as I can tell, the upshot after scoring a million tweets is that the only one with all 26 letters was just
"?????????????????????the quick brown fox jumps over the lazy dog??????????????????"
This is considerably less interesting than I hoped it would be. (And a little surprising! That's a lot of data.)
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#3At first I thaught "Searching Twitter for a better pangram" was the pangram.
I'm stupid.
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#4Isn't it a bit silly to throw away every single @ tweet? Imagine I'm having a twitter conversation with my friends about who can make the best pangram and this data is ignored just because we're tweeting @ each other?
I'm guessing that the majority of tweets will reference a person. How about just stripping that @word from the tweet?
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#5At first I thaught "Searching Twitter for a better pangram" was the pangram. I'm stupid.
"Searching Twitterdjklquvxyz for a better pangram" works!
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#6Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#7Isn't it a bit silly to throw away every single @ tweet? Imagine I'm having a twitter conversation with my friends about who can make the best pangram and this data is ignored just because we're tweeting @ each other? I'm guessing that the majority of tweets will reference a person. How about just stripping that @word from the tweet?
Interesting. The issue I was getting was that it would like tweets that were "@MyFriendWhoHasAUserNameLikeZXCVBNMQWERTYU hey". Should I just strip it of the word "@____"?
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#8As far as I can tell, the upshot after scoring a million tweets is that the only one with all 26 letters was just "?????????????????????the quick brown fox jumps over the lazy dog??????????????????" This is considerably less interesting than I hoped it would be. (And a little surprising! That's a lot of data.)
Yeah that tweet was a let down. I guess the best resolution is that pangrams (or things with many unique letters) are hard to come by?
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#9Isn't it a bit silly to throw away every single @ tweet? Imagine I'm having a twitter conversation with my friends about who can make the best pangram and this data is ignored just because we're tweeting @ each other? I'm guessing that the majority of tweets will reference a person. How about just stripping that @word from the tweet?
Interesting. The issue I was getting was that it would like tweets that were "@MyFriendWhoHasAUserNameLikeZXCVBNMQWERTYU hey". Should I just strip it of the word "@____"?
That would absolutely be the way I'd suggest going about it.
Re: Panning for Pangrams: The Search for the New Quick Brown Fox
#10Isn't it a bit silly to throw away every single @ tweet? Imagine I'm having a twitter conversation with my friends about who can make the best pangram and this data is ignored just because we're tweeting @ each other? I'm guessing that the majority of tweets will reference a person. How about just stripping that @word from the tweet?
Interesting. The issue I was getting was that it would like tweets that were "@MyFriendWhoHasAUserNameLikeZXCVBNMQWERTYU hey". Should I just strip it of the word "@____"?
I'd try stripping such words (and URLs) when they appear at the start or end of the tweet. If in the middle, removing seems likely to mess with the meaning.