Excited to share another milestone in our End-to-End Sentiment Analysis journey! This week, we tackled some critical challenges and made significant progress toward building a fully automated pipeline.


šŸ”§ This Week's Highlights:

āœ… Fixed Airflow DAG errors, ensuring seamless execution. (One tricky issue was resolving the YouTube API key import from the environment!)

āœ… Conducted preliminary sentiment analysis on YouTube comments using the Huggingface API.


šŸ“Œ Next Steps:

šŸ”¹ Integrate all processes for end-to-end sentiment prediction.

šŸ”¹ Deploy a Streamlit app for real-time analysis and visualization.


Weā€™re getting closer to a fully functional solutionā€”stay tuned for more updates! šŸš€



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.


#DataScience #MachineLearning #NLP #SentimentAnalysis #Airflow #Huggingface #Streamlit #ETL

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