Open Issues Need Help
View All on GitHubAI Summary: Update the project's README file to improve its structure, add badges, and clarify the run instructions. This involves reorganizing existing content and potentially adding new sections for better clarity and discoverability.
Revised sentiment-based product recommendation analysis with improved features & model tuning.
AI Summary: Refactor the existing sentiment analysis code from the main Jupyter Notebook (`Sentiment+Enhanced+Product+Recommendation+System+for+Ebuss.ipynb`) into a separate Python module named `sentiment_utils.py`. This module should contain all functions related to feature extraction and sentiment scoring, improving code organization and reusability for future deployments (e.g., Streamlit/Web).
Revised sentiment-based product recommendation analysis with improved features & model tuning.
AI Summary: Debug a Dockerized deployment of a sentiment-based product recommendation system. The Docker image builds correctly but produces incorrect predictions. The task involves reviewing the Dockerfile's entrypoint, verifying the mounted model files, and ensuring consistent output streams.
Revised sentiment-based product recommendation analysis with improved features & model tuning.