SENTILYZER

NSEIT brings the power of sentiment analysis directly to your Snowflake account. Using Streamlit and Snowpark, the application enables you to detect sentiment from user feedback or reviews with no need to transfer files or share data outside of your Snowflake Data Cloud. The application also provides visualizations in the streamlit interface.

Using the sentiment analysis model built by NSEIT which is trained over publicly available user reviews, the client can detect sentiment using batch mode.

To experience the application using your own first-party data please see the expected workflow below.

Steps to Use

Expected workflow for client specific outputs:

1.) Customer installs the application from snowflake marketplace

2.) Customer can start using the application for sentiment analysis. A sample dataset is provided as part of the application.

3.) Customer provides SELECT access to the table containing the user
reviews/feedback for the streamlit application.