Sentiment Analysis with Meta Llama3 70B using Amazon Bedrock
Perform sentiment analysis on your data using Meta Llama3 70B via Amazon Bedrock
This set of Data Productivity Cloud pipelines performs sentiment analysis on a set of product review data using the Meta Llama3 70B Large Language Model (LLM).
![Image ofSentiment Analysis with Meta Llama3 70B via Amazon Bedrock](Sentiment-Analysis-Meta-Llama-3-Matillion.webp)
How to run the pipelines
Start with Sentiment Analysis - Meta Llama3 70B
, 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 namedstg_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 Meta Llama3 70B](Verifying-Sentiment-Analysis-Meta-Llama-3-Matillion.webp)
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-Meta-Llama-3-Amazon-Bedrock-Databricks.zip
- Target: Databricks
Download Sentiment-Analysis-Meta-Llama-3-Amazon-Bedrock-Redshift.zip
- Target: Redshift
Download Sentiment-Analysis-Meta-Llama-3-Amazon-Bedrock-Snowflake.zip
- Target: Snowflake
Installation Instructions
How to Install a Data Productivity Cloud PipelineAuthor: Matillion
Date Posted: Jun 3, 2024
Last Modified: Jun 7, 2024