Google has scanned and indexed books, and showed the most commonly used words, and added meta data, based on book publishing year, genre, and so on. It would be great to see that functionality come to YouTube. Business Intelligence (BI) applied to video libraries yields profit for advertising, sales, and marketing.
Every video, in a batch process, gets analyzed for words used, as well as a word count per word, and there is meta data regarding the video, such as genre, and any other user provided information. Then as videos get processed, a tag bubble cloud as the high level view shows dynamically the most commonly used words get bigger, and the relatively less appearing / said in the view get smaller. Someone can then click on that word, and drill down to other information about the word, in a sense business intelligence about the word. Advertisers, for example, may target certain classes, or word tags for their advertisements to appear. Another profitable model may be to use this business intelligence for business presentations to understand what are the most frequently used words in business speeches, or presentations, based on a current time period, x and y dates, to track what are the buzz words, and even more granular, the business current buzz words of a specific sector, and global region.
Even the music industry can get into the act by getting ‘current phrases’ and incorporate them into their songs.