CODEWITHSUNDEEP
javatwitternlptrending
Lais Varejão
Lais Varejão

Reputation: 63

Defining Trending Topics in a specific collection of tweets

Im doing a Java application where I'll have to determine what are the Trending Topics from a specific collection of tweets, obtained trough the Twitter Search. While searching in the web, I found out that the algorithm defines that a topic is trending, when it has a big number of mentions in a specific time, that is, in the exact moment. So there must be a decay calculation so that the topics change often. However, I have another doubt:

How does twitter determines what specific terms in a tweet should be the TT? For example, I've observed that most TT's are hashtag or proper nouns. Does this make any sense? Or do they analyse all words and determine the frequency?

I hope someone can help me! Thanks!

Upvotes: 2

Views: 934

Answers (2)

silverasm
silverasm

Reputation: 501

You may be interested in meme tracking, which as I recall, does interesting things with proper nouns, but basically identifies topics in a stream as they become more and less popular:

And in Eddi, interactive topic-based browsing of social status streams

Upvotes: 0

Ralph Winters
Ralph Winters

Reputation: 297

I don't think anyone knows except Twitter, however it seems hashtags do play a big part, but there are other factors in play. I think mining the whole text would take more time than needed, and would result in too many false positives.

Here is an interested article from Mashable:

http://www.sparkmediasolutions.com/pdfs/SMS_Twitter_Trending.pdf

-Ralph Winters

Upvotes: 1

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