Spunky Email Extractor [new] Jun 2026

The CAN-SPAM Act sets rules for commercial email. It does not strictly ban harvesting, but it requires:

In this paper, we proposed a novel approach called Spunky Email Extractor (SEE) for extracting email addresses from unstructured text. SEE combines NLP and heuristics to accurately extract email addresses. Our experimental evaluation shows that SEE achieves high accuracy and efficiency, making it suitable for large-scale applications. Future work includes improving the algorithm to handle more complex text formats and edge cases. spunky email extractor

Rule-based approaches rely on regular expressions or predefined patterns to match email addresses. These approaches are simple and efficient but often suffer from low accuracy due to the variability in email formatting. The CAN-SPAM Act sets rules for commercial email

Automated Web Harvesting: A Technical Analysis and Ethical Critique of "Aggressive" Email Extraction Software Our experimental evaluation shows that SEE achieves high