01_Topic Detection Analysis_Training
This workflow applies the Topic Extractor (Parallel LDA) node to detect 10 topics and describe each one of them with 5 keywords. LDA is a generative […]
Process Telephone Numbers
Example of processing telephone numbers to obtain the country code. This workflow demonstrates parsing of telephone numbers, but keep in mind that the […]
topic extraction beg 1.knar
This workflow shows how to extract topics from text documents using the Topic Extractor node, and how to determine an optimal number of topics using the […]
topic extraction beg 1
This workflow shows how to extract topics from text documents using the Topic Extractor node, and how to determine an optimal number of topics using the […]
topic extraction beg 1
This workflow shows how to extract topics from text documents using the Topic Extractor node, and how to determine an optimal number of topics using the […]
topic extraction beg 1.knar
This workflow shows how to extract topics from text documents using the Topic Extractor node, and how to determine an optimal number of topics using the […]
04_Remove_Personal_Information_from_KNIME_Server_Log_Files
Masks IPs, email addresses, and usernames in KNIME Server Logs for all standard cases. How it's used Most conveniently, it's executed as a Data App on […]
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 […]
Topic Detection
The workflow shows two examples for the Topic Extrator (Parallel LDA) node. The first workflow extracts topics from the "Romeo & Juliet" epub book using […]