Sentiment Analysis with BERT Neural Network and Python

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Want to leverage advanced NLP to calculate sentiment? • Can't be bothered building a model from scratch? • Transformers allows you to easily leverage a pre-trained BERT neural network to do exactly that! • In this video we'll go through how to get up and running with Hugging Face Transformers and BERT to be able to calculate sentiment. We'll run the model using a single prompt but also leverage BeautifulSoup to scrape reviews from Yelp to be able to calculate sentiment on a larger scale. • In this video you'll learn how to: • 1. Install Transformers • 2. Perform Sentiment Scoring using BERT and Python • 3. Scrape reviews from Yelp and Calculate their Sentiment • Get the code for this tutorial: https://github.com/nicknochnack/BERTS... • Thanks so much to Mito for sponsoring this video! Mito is an amazing JupyterLab plugin that allows you to work with your data easily using a drag and drop interface that's similar to Excel. Try it out for FREE at trymito.io! If you need a little help getting started, check out the tutorial: https://docs.trymito.io/getting-start... • Chapters • 0:00 - Start • 0:23 - How it Works • 1:48 - Tutorial Start • 2:55 - Install and Import Dependencies • 9:20 - Setup BERT and Transformers Neural Network • 11:27 - Encode Sentences for Modelling and Calculate Sentiment • 16:40 - Scrape Reviews from Yelp using BeautifulSoup • 22:41 - Load Reviews into Pandas and Calculate Sentiment • 29:52 - Run the Sentiment Pipeline for Multiple Reviews • 31:32 - Wrap Up • Oh, and don't forget to connect with me! • LinkedIn: https://bit.ly/324Epgo • Facebook: https://bit.ly/3mB1sZD • GitHub: https://bit.ly/3mDJllD • Patreon: https://bit.ly/2OCn3UW • Join the Discussion on Discord: https://bit.ly/3dQiZsV • Happy coding! • Nick • P.s. Let me know how you go and drop a comment if you need a hand!

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