Carrot2 clustering engine

LEGE — Fri, 07 Apr 2023 13:11:24 -0500

This is the demo application of the Carrot² clustering engine. It uses Carrot²'s algorithms to organize search results into thematic folders.

Web Search Clustering organizes search results from public search engines into clusters; offers treemap- and pie-chart visualizations of the clusters.
Clustering Workbench clusters content from local files in JSON or Excel format, Solr or Elasticsearch; allows tuning of clustering parameters and exporting results as Excel or JSON.

Web: web search results provided by etools.ch. Extensive use may require special arrangements with the owner of the etools.ch service.
PubMed: abstracts of medical papers from the PubMed database provided by NCBI.
Local file: content read from a local file in Carrot2 XML, JSON, CSV or Excel format.
Solr: queries an Apache Solr instance.
Elasticsearch: queries an Elasticsearch instance.

Lingo: creates well-described flat clusters. Does not scale beyond a few thousand search results. Available as part of the open source Carrot² framework.
STC: the classic search results clustering algorithm. Produces flat cluster with adequate description, very fast. Available as part of the open source Carrot² framework
k-means: base line clustering algorithm, produces bag-of-words style cluster descriptions. Available as part of the open source Carrot² framework

BOL: Carrot2 clustering engine