Data Productivity Cloud Pipeline

Sentiment Analysis with Titan Text Express using Amazon Bedrock

Perform sentiment analysis on your data using Titan Text Express via Amazon Bedrock

This set of Data Productivity Cloud pipelines performs sentiment analysis on a set of product review data using the Titan Text Express Large Language Model (LLM).

Image ofSentiment Analysis with Titan Text Express via Amazon Bedrock
Sentiment Analysis with Titan Text Express via Amazon Bedrock

How to run the pipelines

Start with Sentiment Analysis - Titan Text Express, as shown in the screenshot above. It does two things:

  • Runs Sentiment Analysis - Acquire Review Data to create a set of product review data in a database table named stg_sample_reviews
  • Run the actual sentiment analysis using the LLM, creating a new database table named stg_sample_reviews_genai

Once it has finished, open Sentiment Analysis - Comparison, as shown in the screenshot below.

Image ofVerifying Sentiment Analysis with Titan Text Express
Verifying Sentiment Analysis with Titan Text Express

Use Sample Data while the Comparison component is highlighted, to check how the AI-generated sentiment score matches the original numeric star rating of the review.

Downloads

Licensed under: Matillion Free Subscription License

Download Sentiment-Analysis-Titan-Text-Express-Amazon-Bedrock-Databricks.zip

  • Target: Databricks

Download Sentiment-Analysis-Titan-Text-Express-Amazon-Bedrock-Redshift.zip

  • Target: Redshift

Download Sentiment-Analysis-Titan-Text-Express-Amazon-Bedrock-Snowflake.zip

  • Target: Snowflake

Installation Instructions

How to Install a Data Productivity Cloud Pipeline
Author: Matillion
Date Posted: Jun 3, 2024
Last Modified: Jun 7, 2024