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

YouTube

Sentiment Analysis with BERT Neural Network and Python

Nicholas Renotte via YouTube

Overview

Learn how to perform sentiment analysis using BERT neural networks and Python in this comprehensive 32-minute tutorial video. Discover how to leverage pre-trained models from Hugging Face Transformers to calculate sentiment without building a model from scratch. Follow along as the instructor guides you through installing Transformers, performing sentiment scoring with BERT, and scraping Yelp reviews to analyze sentiment on a larger scale. Gain hands-on experience with encoding sentences, setting up the BERT model, and implementing a sentiment pipeline for multiple reviews. By the end of this tutorial, you'll have the skills to apply advanced natural language processing techniques for sentiment analysis in your own projects.

Syllabus

- Start
- How it Works
- Tutorial Start
- Install and Import Dependencies
- Setup BERT and Transformers Neural Network
- Encode Sentences for Modelling and Calculate Sentiment
- Scrape Reviews from Yelp using BeautifulSoup
- Load Reviews into Pandas and Calculate Sentiment
- Run the Sentiment Pipeline for Multiple Reviews
- Wrap Up

Taught by

Nicholas Renotte

Reviews

Start your review of Sentiment Analysis with BERT Neural Network and Python

Never Stop Learning.

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

Someone learning on their laptop while sitting on the floor.