Building on last week's announcement about kicking off our End-to-End Sentiment Analysis project, I wanted to share some exciting progress from this week!
š§ This Week's Highlights:
- Delivered a hands-on tutorial on setting up Apache Airflow for an ETL process.
- Successfully fetched YouTube comments using the YouTube API, transformed the data, and started loading it into a PostgreSQL database.
- Configured Airflow using Docker Desktop and utilized PGAdmin as the
PostgreSQL client.
š Next Steps: This week, I aim to tackle the challenges encountered during the data-loading phase and refine the process to ensure smooth and efficient execution.
Stay tuned for more updates as we continue to:
- Refine the ETL pipeline.
- Conduct sentiment analysis using Huggingface models.
- Deploy an interactive web app with Streamlit for real-time insights.
Letās keep innovating and growing together! š”
Team Members:
Shaheer Airaj Ahmed (SDS Project Mentor), Jothi Mani Thondiraj (Project Lead), Vijai Murugan M, Patrick Edosoma, Funmi Ososanya, Oluwatunmise Olaoluwa, Youssef Benihoud, Valeria Salley-Washington, Jana ÄadĆkovĆ”, Aryan Amin, Gabriela GutiĆ©rrez OlguĆn, Teslim Adeyanju, Ravi Venkatesan, and more.
#MachineLearning #SentimentAnalysis #DataScience #ETL #ApacheAirflow #YouTubeAPI #PostgreSQL
Great updates and highlights! š Next week will be very important for the success of this project.