Starting out on a Knowledge management course at DePaul this month. You will see more frequent entries here as I plan on using this is as the required class blog, which is worth 30% of the grade. I am supposed to write 500 to a 1000 words a week, far cry from the 1000 words a day for a PhD student. But I digress.
I would like to continue on my quest to "flush out the Goons" using Knowledge management and Data mining and other tools possibly of the collaborative kind. Nothing is free in the perspective of energy and matter as we all know, yet then why do we (Including myself) fall for these SCAMS of larger this and longer that and more of this?
It appears we as humans, in doing business, NEED to force others to buy our product. To COERCE them into buying our product, we "make them look", then bait them with "EXAGGERATED" qualifications for the product. In short we SCAM. Since most of us are greedy and do not read the fine print, we fall for the scam.
If we catalog all the scams on the Internet, have it grow through collaboration, then generate an adsense/adword type of tag based on the "Collaborated SCAM Catalog" to generate flags on such false advertising, the users will hopefully grow wiser. Through Data mining, I believe it is possible to identify a TAG CLOUD that can help us achieve this automated Flagging. So the premise is simple, bring TRANSPARENCY to claims of a products, be it a political campaign, campaign finance, free computers, free homes and a whole slew of similar products that target the greed of the havenot's or shall I say those who don't have as much but would like more, particularly if it is free.
The most powerful "Made you look" in advertisements is the word "FREE", free computer, free ipod, free desktop, ofcourse of late free home. One approach here would be to identify similar words or phrases and words connected to the primary "Made you Look" subset to an "n" hierarchy. Profiling words and pharses in other words.
Next week, I plan on focussing on the "Made you Look Subset" in a little detail, giving it a structure perhaps.