Humans vs Machine @ Jeopardy
February 23rd, 2011
Data mining & Hip Hop
February 23rd, 2011Tahir Hemphil data mined 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.[Project] The project is one of its kind with a huge potential offering to the hip hop world, not only can you visualize the artists career’s but also have deeper analysis into their world where you can potential patternize their music.
Interesting Links:
- http://www.eyebeam.org/taxonomy/term/5029
- https://spreadsheets.google.com/ccc?key=0Aju92oYl3qVTdFUzdGZPVFh6Tld0YUd1VWhzaVd5ZFE&hl=en#gid=0
- http://www.hiphoparchive.org/
[Read more @ Wired]
MIT Media Lab Spinout Bluefin Labs
February 23rd, 2011Bluefin empowers brands, agencies, and media companies with unprecedented insights about how audiences are responding to TV ads and the shows they run on. Using deep machine learning born from MIT research, Bluefin technology aligns social media comments to their televised source—in real time and at scale.
The company was founded by Deb Roy and Michael Fleischman based on their research at the MIT Media Lab. Roy is a tenured professor at MIT who has pioneered research on human communication using massive data sets and cognitive modeling. He has taken leave from MIT to head up Bluefin.
[ Read More]
Dataminingtools.net: What’s coming soon?
January 6th, 2011A warm welcome into the new year!
We are excited as well, as we have lots in store for you in 2011! Yes, we are working to provide you with lots of data mining content, to help you learn better and faster. Some attractions include, content/videos on SPSS, SAS, and more. Some new features to look out for includes, improved dmCertify section, where you can check your data mining knowledge and practice towards industry certification as well. So keep a look out for the new content which will be released soon.
Happy learning!
- Dataminingtools.net Team
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