1. A method for automatically surfacing tagged content in a vertical application, the method comprising: parsing text from content in an end user application; comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system to determine whether the parsed text matches at least one of the social bookmarks in the social bookmarking system by matching portions of the parsed text to respective ones of the social bookmarks and associated metadata; and, upon determining that the parsed text matches the at least one of the social bookmarks in the social bookmarking system, visually emphasizing the matched portions of the parsed text from the content in the end user application by determining a frequency of match to respective ones of the social bookmarks and associated metadata and adjusting a color of text associated with the matched portions of the parsed text proportionately based upon the determined frequency of match so as to visually differentiate the matched portions from the content.
1. A method for automatically surfacing tagged content in a vertical application, the method comprising: parsing text from content in an end user application; comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system to determine whether the parsed text matches at least one of the social bookmarks in the social bookmarking system by matching portions of the parsed text to respective ones of the social bookmarks and associated metadata; and, upon determining that the parsed text matches the at least one of the social bookmarks in the social bookmarking system, visually emphasizing the matched portions of the parsed text from the content in the end user application by determining a frequency of match to respective ones of the social bookmarks and associated metadata and adjusting a color of text associated with the matched portions of the parsed text proportionately based upon the determined frequency of match so as to visually differentiate the matched portions from the content. 3. The method of claim 1 , further comprising toggling the visual emphasis of the matched portions of the parsed text in the end user application.