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Online Course

Sentiment Analysis with Deep Learning using BERT

Coursera Project Network via Coursera

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  • Provider Coursera
  • Cost Paid Course
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 2 hours a week
  • Duration 1 weeks long
  • Learn more about MOOCs

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Overview

In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In fine-tuning this model, you will learn how to design a train and evaluate loop to monitor model performance as it trains, including saving and loading models. Finally, you will build a Sentiment Analysis model that leverages BERT's large-scale language knowledge.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Taught by

Ari Anastassiou

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