1. A method comprising: receiving a document having a plurality of lines with text, the document comprising text associated with at least one topic of interest and text not associated with the at least one topic of interest; determining, for each line in the document, a length of the line and a number of off-topic indicators, the off-topic indicators characterizing portions of the document as likely being not being associated with the at least one topic of interest; determining a density for each line based on the determined line length and the determined number of off-topic indicators, the density for each line being proportional to the determined line length and inversely proportional to an exponential base greater than one of the number of off-topic indicators; identifying, using the determined densities for each line, portions of the document likely associated with the at least one topic of interest; and providing data characterizing the identified portions of the document.
3. A method as in claim 1 , wherein, the determined number of off-topic indicators is based on one or more of: a number of formatting portions, spaces, font tags, font information, HTML Tags, spacing, non-printed text formatting and spacing elements, or characters found within the line.