Deploying a Sentiment Analysis Predictive Model - BERT

KCH Workflows
1

This workflow applies a BERT model, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on new tweets around #xxx to predict their sentiment. The last component visualizes: 1. the bar chart with the number of negative/positive/neutral tweets; 2. the word cloud of all collected tweets; 3. the table with all collected tweets.

This is a companion discussion topic for the original entry at https://kni.me/w/myYBJS_VRYmt8h2P
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I downloaded the building and deploying sentiment predictor workflows, which require Redfield BERT nodes. I clicked on the option to download them, and the system replied that no BERT nodes were available in an extension.

4

Hi @Bob_Nisbet -

What happens if you drag-and-drop the Redfield BERT Nodes extension from the Hub into a blank workflow?