Skip to content

This code gets connected to Solr DB created for Sparkler Crawled Data to do further data extraction, classification, filtering and insights generation using various Machine Learning models. The ML models are capable of using keywords list from user, extract features from URL content, and classify (score) output and update Solr parameter accordin…

Notifications You must be signed in to change notification settings

ahmadika/Apache_Sparkler_Post_Processing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 

Repository files navigation

Apache Sparkler Post Processing using Machine Learning

This code gets connected to Solr DB created for Sparkler Crawled Data to do further data extraction, classification, filtering and insights generation using various Machine Learning models.

The ML models are capable of using keywords list from user, extract features from URL content, and classify (score) output and update Solr parameter accordingly.

Apache Sparkler Link: https://github.com/USCDataScience/sparkler

About

This code gets connected to Solr DB created for Sparkler Crawled Data to do further data extraction, classification, filtering and insights generation using various Machine Learning models. The ML models are capable of using keywords list from user, extract features from URL content, and classify (score) output and update Solr parameter accordin…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages