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.
Sentiment Analysis with Deep Learning using BERT
Sentiment Analysis with Deep Learning using BERT
Instructor: Ari Anastassiou
Access provided by The National Institute of Engineering
16,137 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.4
(397 reviews)
Intermediate level
Recommended experience
120 minutes
Learn at your own pace
Hands-on learning
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
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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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.
2 project images
Instructor
Instructor ratings
4.5 (31 ratings)Offered by
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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4.4
397 reviews
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Showing 3 of 397
FR
5
Reviewed on Oct 11, 2020
Clean, clear and helpful. Thanks a lot!Would also be nice to see the approaches to tune BERT for the particular task (e.g. custom tokenization, pre-processing of data, etc.)
RA
5
Reviewed on Sep 24, 2021
I like this project and help me a lot to understand how to do Sentiment Analysis with BERT Model
PB
5
Reviewed on Sep 13, 2020
Very effective course to understand the concept of sentiment analysis using Deep Learning.. Thank you team
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