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!

šŸ”§ 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.

šŸ“Œ 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.

Letā€™s keep innovating and growing together! šŸ’”

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 ČadĆ­kovĆ”, Aryan Amin, Gabriela GutiĆ©rrez OlguĆ­n, Teslim Adeyanju, Ravi Venkatesan, and more.


#MachineLearning #SentimentAnalysis #DataScience #ETL #ApacheAirflow #YouTubeAPI #PostgreSQL

Admin

Great updates and highlights! šŸš€ Next week will be very important for the success of this project.

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