Methods, systems and computer program products for predicting breakout artists and media content. Web content is scraped to identify web pages that include the name of an artist or media item and clusters the web pages into one or more headlines. The number of headlines for the artist or media item that occurred during a first time period and the number of content consumers who played the artist or media item during the first time period and during a second time period are counted. A breakout value is, in turn, calculated for the artist or media item using the number of headlines over the first time period, the number of content consumers during the first time period and the number of content consumers during the second time period.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of predicting breakout content, comprising the steps of: scraping a network for pages that include a name of an entity; clustering the pages into one or more headline clusters; counting a number of the headline clusters over a first time period; counting a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and calculating a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period. 2. The method according to claim 1, wherein the value is calculated according to: value = consumers first   time   period * log  ( clusters first   time   period ) consumers second   time   period * consumers second   time   period . 3. The method according to claim 1, wherein the second time period is greater than the first time period. 4. The methods according to claim 3, wherein the first time period is equal to 7 days and the second time period is equal to 6 months. 5. A system comprising for predicting breakout content, comprising: a processing unit adapted to scraping a network for pages that include a name of an entity; clustering the pages into one or more headline clusters; count a number of the headline clusters over a first time period; count a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and calculate a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period. 6. The system according to claim 5, wherein the value is calculated according to: value = consumers first   time   period * log  ( clusters first   time   period ) consumers second   time   period * consumers second   time   period . 7. The system according to claim 5, wherein the second time period is greater than the first time period. 8. The system according to claim 7, wherein the first time period is equal to 7 days and the second time period is equal to 6 months. 9. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which, when executed by an electronic device with one or more processors, cause the electronic device to perform the steps of: scraping a network for pages that include a name of an entity; clustering the pages into one or more headline clusters; counting a number of the headline clusters over a first time period; counting a number of content consumers for the entity over the first time period and a number of content consumers for the entity over a second time period; and calculating a value using the number of headline clusters over the first time period, the number of content consumers over the first time period and the number of content consumers over the second time period. 10. The method according to claim 9, wherein the value is calculated according to: value = consumers first   time   period * log  ( clusters first   time   period ) consumers second   time   period * consumers second   time   period . 11. The computer-readable medium of claim 10, wherein the second time period is greater than the first time period. 12. The computer-readable medium of claim 11, wherein the first time period is equal to 7 days and the second time period is equal to 6 months.