Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • redfield
  • Spaces
  • Public
  • BERT_Sentiment_Analysis_with_BERT_extension
WorkflowWorkflow

Sentiment Analysis with BERT extension by Redfield

Deep Learning NLP Machine Learning Text Processing Text Classification +7

Last update: 

Drag Workflow
Workflow preview
This workflow demonstrates how to do sentiment analysis with BERT extension for Knime by Redfield. The dataset used here consists of the first 10000 reviews in the IMDB Movie Reviews dataset (http://ai.stanford.edu/~amaas/data/sentiment/) from "Learning Word Vectors for Sentiment Analysis" by Maas et al. Required Python packages (need to be available in your TensorFlow 2 Python environment): bert==2.2.0 bert-for-tf2==0.14.4 Keras-Preprocessing==1.1.2 numpy==1.19.1 pandas==0.23.4 pyarrow==0.11.1 tensorboard==2.2.2 tensorboard-plugin-wit==1.7.0 tensorflow==2.2.0 tensorflow-estimator==2.2.0 tensorflow-hub==0.8.0 tokenizers==0.7.0 tqdm==4.48.0 transformers==3.0.2

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.2
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME JavaScript Views (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.1

  • Redfield BERT Nodes Trusted extension

    Redfield AB

    Version 0.0.1

Legal

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

License (CC-BY-4.0)
Short link
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
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits