7. The web-based media analysis system recited in claim 6 , wherein said meaningful minimum sections are words.
6. The web-based media analysis system recited in claim 5 , wherein said training comprises the steps of: i. preparing said plurality of sample media contents with suggested tones thereof; ii. splitting each of said plurality of said sample media contents into meaningful minimum sections while filtering out any unessential sections and extracting attributes and categories of said each of said plurality of said sample media contents using regular expressions; iii. tracking number of appearances of each of said meaningful minimum sections in said each of said plurality of said sample media contents and associating said number of appearances and said suggested tone corresponding to said each of said plurality of said sample media contents, deriving said tone level probabilities of said each of said meaningful minimum sections cause said each of said plurality of said sample media contents to be toned at, and updating said at least one database with said tone level probabilities of said meaningful minimum sections; iv. deriving said tone level probabilities of said attributes of said each of said plurality of said sample media contents cause said each of said plurality of said sample media contents to be toned at, and updating said at least one database with said tone level probabilities of said attributes; and v. deriving said tone level probabilities of said categories of said each of said plurality of said sample media contents that cause said each of said plurality of said sample media contents to be toned at, and updating said at least one database with said tone level probabilities of said categories.