Hub
Pricing About
WorkflowWorkflow

Building a Sentiment Analysis Predictive Model - Supervised Machine Learning

Sentiment analysisSentimentMachine learningSVMSupervised learning
+2
aliasghar_marvi profile image
Draft Latest edits on 
Nov 10, 2020 3:52 PM
Drag & drop
Like
Download workflow
Workflow preview
This workflow uses a Kaggle Dataset including 14K customer tweets towards six US airlines (https://www.kaggle.com/crowdflower/twitter-airline-sentiment). Contributors annotated the valence of the tweets as positive, negative or neutral. Once users are satisfied with the model evaluation, they should export (1) the Vector Space and (2) the Trained Model for deployment over non-annotated data. If you use this workflow, please cite: 
F. Villaroel Ordenes & R. Silipo, “Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications”, Journal of Business Research 137(1):393-410, DOI: 10.1016/j.jbusres.2021.08.036.
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.1
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    knime
  • Go to item
    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME Excel SupportTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

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

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME Optimization extensionTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME Weka Data Mining Integration (3.7)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    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