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.

搜集汇总

背景与挑战

背景概述

SENTILYZER是NSEIT开发的一款Snowflake平台情感分析应用，通过Streamlit和Snowpark技术，使用户无需转移数据即可分析用户反馈或评论的情感。该应用基于公开评论训练模型，支持批处理模式，客户可通过Snowflake Marketplace安装，并提供数据表访问权限以使用自有数据进行分析和可视化。