Natural Language Processing for Sentiment Analysis and Text Summarization

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About Course

  • Tech Stack: Python (Hugging Face Transformers, NLTK, TensorFlow), AWS (Lambda, SageMaker, S3), Airflow, Docker
  • Objective: Build a real-time NLP system for sentiment analysis and text summarization from customer reviews or social media. Utilize pre-trained transformer models like BERT for sentiment classification and summarization tasks, and deploy the model as a serverless function on AWS.
  • Skills Needed: Transformers (BERT, GPT), NLP techniques (sentiment analysis, text summarization), cloud-based model deployment, serverless computing, automation (Airflow).

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