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.
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Sentiment Analysis with Deep Learning using BERT
![Ari Anastassiou](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/4b/fc5cc321dc4969957ec4ad8834a01c/00100dPORTRAIT_00100_BURST20180322162940645_COVERLR.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
Instructor: Ari Anastassiou
15,431 already enrolled
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(395 reviews)
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What you'll learn
Preprocess and clean data for BERT Classification
Load in pretrained BERT with custom output layer
Train and evaluate finetuned BERT architecture on your own problem statement
Details to know
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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to BERT and the problem at hand
Exploratory Data Analysis and Preprocessing
Training/Validation Split
Loading Tokenizer and Encoding our Data
Setting up BERT Pretrained Model
Creating Data Loaders
Setting Up Optimizer and Scheduler
Defining our Performance Metrics
Creating our Training Loop
Loading and Evaluating our Model
Recommended experience
Intermediate Python users with some exposure to NumPy, Pandas, and PyTorch.
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Instructor
![Ari Anastassiou](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/4b/fc5cc321dc4969957ec4ad8834a01c/00100dPORTRAIT_00100_BURST20180322162940645_COVERLR.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
395 reviews
- 5 stars
62.12%
- 4 stars
25.75%
- 3 stars
8.08%
- 2 stars
2.02%
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Showing 3 of 395
Reviewed on Jul 24, 2020
Thankyou, really a great course under great instructor.
Reviewed on Sep 25, 2021
I like this project and help me a lot to understand how to do Sentiment Analysis with BERT Model
Reviewed on Sep 14, 2020
Very effective course to understand the concept of sentiment analysis using Deep Learning.. Thank you team
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.