Tag Archives | Data Mining

Predicting Trends Beforehand

In this age of constant advertisement and brand placement, trending topics on Twitter have become a great free way for advertisers to get their message in front of more potential customers. The only problem is that no one can predict what will be come a trending topic, at least until now.  A professor at M.I.T. in conjunction with one of his students, developed an algorithm that they claim will be 95% accurate in predicting those trending topics as much four to five hours before they are trending.

Picture: Unmadindu (CC)

Via M.I.T.

At the Interdisciplinary Workshop on Information and Decision in Social Networks at MIT in November, Associate Professor Devavrat Shah and his student, Stanislav Nikolov, will present a new algorithm that can, with 95 percent accuracy, predict which topics will trend an average of an hour and a half before Twitter’s algorithm puts them on the list — and sometimes as much as four or five hours before.

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Datamining Hip-Hop’s History

Duncan Geere reports for Wired :
An artist named Tahir Hemphill wants to datamine 30 years of hip-hop lyrics to provide a searchable index of the genre’s lexicon. The project analyzes the lyrics of over 40,000 songs for metaphors, similes, cultural references, phrases, memes and socio-political ideas. For each, it registers a date and a geographical location. Hemphill has raised more than $8,000 in funding for the project on Kickstarter, from 349 people. The idea is so that important questions can be answered, like who was the first to mention “haters,”...
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