Could anyone tell me what algorithm does Twitter.com use on classifying trend topics with multiple words? The problem is easy when only dealing with trends having only single words say for example "#SoulTrainAwards" or "#DontYouWish". But it is a totally different problem when dealing with trends with multiple words say for example "Chrisette Michelle" or "Happy Halloween" or "Merry Christmas" since a word on a mltiple-word trend can be another different trend. Say for example the word "Happy", or the word "Christmas" alone.
Multiple-Word Twitter Trending Topics
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As it was pointed out by user judotens on this question, you'd divide the message into n-grams. I believe Twitter uses at most 3 words on a trending topic, so the message
would result on the following items
Then, I believe it uses that data as input for some kind of streaming algorithm, which will return the most frequent items.