Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • marcelo_linero
  • Spaces
  • Public
  • 05_Named_Entity_Tag_Cloud
WorkflowWorkflow

Importing, preprocessing and visualizing textual data as Tag Cloud

NLP Natural Language Processing
Marcelo Linero profile image

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
The workflow starts with a list of documents, which have been downloaded from PubMed and parsed beforehand and saved as data table. The data is available in the workflow directory. The documents are assigned to two categories and are split, based on the category assignments, into two sets. The first set consists of documents about human and aids, the second set consists of documents about mouse and cancer. Part of speech tags as well as gene names are recognized and assigned by the corresponding tagger (POS tagger and Abner tagger), in order to assign a color based on a tag type later on. After preprocessing by filtering and stemming. Bag of words are created and frequencies computed. Again filtering is applied based on the frequencies. Finally the remaining terms are visulaized in a Tag Cloud. This workflow shows how to import textual data, preprocess documents by filtering and stemming, transform documents into a bag of words, and finally visualize them using a Tag Cloud.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • Go to item
    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item
Loading deployments
Loading ad hoc executions

Legal

By using or downloading the workflow, you agree to our terms and conditions.

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits