25_Topic_Detection_LDA
Topic Detection LDA: Summarizing Romeo & Juliet or cataloging News The workflow shows two examples for the Topic Extrator (Parallel LDA) node. The […]
25_Topic_Detection_LDA
The workflow shows two examples for the Topic Extrator (Parallel LDA) node. The first workflow extracts topics from the "Romeo & Juliet" epub book using […]
04_Keyword_Extraction
04_Keyword_Extraction Here we perform an automated keyword extraction from a subset of the given collection of documents. In this example workflow the […]
04_Keyword_Extraction
Here we perform an automated keyword extraction from a subset of the given collection of documents. In this example workflow the Chi-square keyword […]
Column Filter with partial match not filtering
There has been no description set for this workflow's metadata.
Fun with Tags
<h1>Fun with Tags</h1><hr><p>Automated access to disease information is an important goal of information extraction and text mining efforts. Here, we want […]
Tag Genes in Disease related Literature
This example workflow shows how ontology terms can be used to tag biomedical literature. In the first step, the Triple File Reader node reads an ontology […]
01_Structural_Topic_Model_(STM)_Example
This example shows how to adopt the verified components Topic Extractor (STM) and the Topic Assigner (STM). The main difference with using the Topic […]