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WHOIS

About

Statistical WHOIS parser. A rule-based one that is used to label the training data is also included. Please see SWIP for more details.

Dependencies

This project depends on scrf.

Update 2017-04-17

A directly usable parser with models trained on 100k random .com whois samples collected on 2015-03-19 is included. To use the parser, put "whoisparser.jar", "mod" folder and the folder containing thick whois files under the same directory. Run "java -jar whoisparser.jar NameOfDataFolder" and it will generate an "out" folder with parsed whois in hashtable format. You can also customize it to meet your needs.

Unfortunately, this package will no longer be maintained.

License

Copyright (c) 2015 Suqi Liu This software is provided free of charge for research and non-commercial use. No warranty of any kind is included.

whois's People

Contributors

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Watchers

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