We evaluated the performance of SEE using a dataset of 1000 unstructured text samples. The dataset included a mix of emails, chat logs, and web pages. We compared the performance of SEE with two baseline approaches: a rule-based approach using regular expressions and a machine learning-based approach using a trained model.
Automated Web Harvesting: A Technical Analysis and Ethical Critique of "Aggressive" Email Extraction Software
Future research directions for SEE include:
The crawler functions similarly to a search engine spider. It visits a Uniform Resource Locator (URL) and downloads the HTML content. Aggressive extractors differ from standard crawlers in their traversal speed and depth. They utilize multi-threading or asynchronous programming to request hundreds of pages simultaneously, significantly reducing the time required to harvest data but increasing the load on the target server.