Hub
Pricing About
WorkflowWorkflow

Sentiment Analysis

Deep learningKerasText classificationClassificationLstm
+7
abdulrehman profile image
Draft Latest edits on 
Jun 20, 2018 8:42 AM
Drag & drop
Like
Download workflow
Workflow preview
This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used network learns a 128 dimensional word embedding followed by an LSTM.
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.1.3, 4.2.0

    knime
  • Go to item
    KNIME Deep Learning - Keras IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME JavaScript Views (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.3

    knime
  • Go to item
    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.1.3, 4.2.0

    knime

Legal

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

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits