Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • vincenzo
  • Spaces
  • Public
  • From_Words_To_Wisdom_Book
  • Chapter4
  • 03_Streaming_DocumentVector
WorkflowWorkflow

03_Streaming Document Vector Hashing Creation

Books From Words To Wisdom Text Mining Streaming

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
Here we execute the workflow in a streming fashion. The aim of this workflow is to create a vector space with the collection of documents being analzsed, bz using the Document Vector Hashing node. The node creates document vectors with a fixed number of dimensions using various hashing methods. This workflow starts reading the data and converts the strings into documents, which are then preprocessed, i.e. filtered and stemmed; all in a streaming fashion. All the preprocessing steps take place in the Streaming Pre-processing component. Then a bag of word is created and finally the documents are transformed into numerical/binary document vectors with the Document vector hashin node. The all workflow is executed in a streaming fashion.

External resources

  • www.knime.com/knimepress/from-words-to-wisdom

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
  • Go to item
    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

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
Hardturmstrasse 66
8005 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 Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits