NLP-Powered Sentiment Analysis for Social Media Insights

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About Course

  • Tech Stack: Python (Hugging Face Transformers, NLTK, TensorFlow), Elasticsearch, Flask, AWS (Lambda, S3, SageMaker), Airflow
  • Objective: Create an end-to-end sentiment analysis pipeline for social media platforms, using state-of-the-art NLP models like BERT. The system will crawl and analyze social media posts in real-time to extract insights and trends.
  • Skills Needed: Natural language processing (BERT, Hugging Face), real-time data crawling, Elasticsearch for indexing, Flask API, AWS Lambda for serverless deployment, Airflow for automation.

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