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):
Get this workflow from the following link: Download
BERT_Sentiment_Analysis_with_BERT_extension(2) consists of the following 19 nodes(s):
BERT_Sentiment_Analysis_with_BERT_extension(2) contains nodes provided by the following 7 plugin(s):
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