autoextractor
A toolkit for clustering web pages based on various similarity measures.
APACHE-2.0 License
Stars
4
Ecosystems:
Java
Moved to https://github.com/uscdataScience/autoextractor
Auto Extractor
An intelligent extractor library which learns the structures of the input web pages and then figures out a strategy for scraping the structured content
NOTE : The project is under active development, as a result the README is out of sync with the codebase.
TODO: update this file with the description of all new features.
Example Usage:
1. Structural Similarity Between HTML/XML documents
2. Clustering based on style and structure
Developers:
References :
- K. Zhang and D. Shasha. 1989. "Simple fast algorithms for the editing distance between trees and related problems". SIAM J. Comput. 18, 6 (December 1989), 1245-1262.
- Jarvis, R.A.; Patrick, Edward A., "Clustering Using a Similarity Measure Based on Shared Near Neighbors," in Computers, IEEE Transactions on , vol.C-22, no.11, pp.1025-1034, Nov. 1973