I am a passionate developer participating in the Arctic Streamlit Hackathon. Our goal is to leverage the power of Snowflake Arctic and Streamlit to create a novel AI application for analyzing Amazon customer reviews.
Technologies Used:
Snowflake Arctic: We chose Snowflake Arctic for its advanced analytics capabilities and seamless integration with Snowflake's data platform.
Snowflake Embeddings: We have utilized Snowflake embeddings to compare customer reviews using COSINE SIMILARITY, allowing us to identify similar reviews and patterns in customer feedback.
Amazon Customer Reviews Dataset: We are utilizing the extensive dataset of Amazon customer reviews to train our models and provide meaningful analysis.
Key Features:
- Data Preprocessing: We will clean and preprocess the Amazon customer reviews data to ensure accurate analysis and visualization.
- Sentiment Analysis: We will perform sentiment analysis on the customer reviews to extract key insights and trends.
- Visualization: All visuals in this project have utilized SNOWFLAKE ARTIC and CORTEX to generate insightful visualizations.
How to run
-Streamlit run About_Project.py