Skip to Main Content
ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks Volume 18

Cihan H. Dagli
Cihan H. Dagli
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

We describe a method to extract content text from diverse Web pages by using the HTML document's Text-To-Tag Ratio (TTR) rather than specific HTML cues that are not constant across various Web pages. We describe how to compute the TTR on a line-by-line basis and then cluster the results into content and non-content areas. The resulting TTR-histogram is not easily clustered because of its one dimensionality; therefore we present a technique to better represent the histogram in two-dimensions. Next, we compare clustering techniques such as EM, K-Means, and Farthest First — in density and distance modes — with a threshold partitioning technique on the resulting two-dimensional data. These clustering techniques are also enhanced with the use of histogram smoothing techniques. We then evaluate our approach using standard accuracy, precision and recall metrics.

You do not currently have access to this chapter.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal