Difference between revisions of "What VS What? Detect Controversial Topics in Online Community"
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== Project idea == | == Project idea == | ||
| − | When given | + | When given series of Document D and the number of comments associated with that Documents, note as <math>N(d)</math> |
| − | <math>(D_{i},N(D_{i}))</math> | + | <math>{(D_{i},N(D_{i})),....,(D_{i},N(D_{i}))}</math> |
Revision as of 21:19, 8 October 2012
Team members
Teammate Wanted! Feel Free to contact me!
Motivation
In online communities, there are always some topics that are more controversial than others and attract a lot of users' enthusiasm and concentration. For example, in Geek news communities such as Slashdot, the news article about Apple VS Android topic usually has a much higher volume of comments. The same thing happens when things comming to other controversial topics like Windows VS Linux, Open Source VS Commercial Software.
The goal behind this project is to automatic find those topics inside a online community that when put get together, the level of controversy grows higher.
Project idea
When given series of Document D and the number of comments associated with that Documents, note as
