Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera Project Network

Sentiment Analysis with Deep Learning using BERT

Coursera Project Network via Coursera

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

Related Courses

Reviews

Start your review of Sentiment Analysis with Deep Learning using BERT

Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free