Sentiment Analysis With Transformer Models Made Easy
Perform sentiment analysis using DISTILBERT with just a few lines of Python code! Sentiment analysis has many useful applications in the field of natural language processing (NLP), and in this video you'll learn how to implement a high performance sentiment analysis model.
New Course on how to create a web app to display GPT-Neo. Also covers fine-tuning GPT-Neo: https://www.udemy.com/course/nlp-text...
Sentiment analysis is a popular is a form of text classification where models must determine if text is "negative" or "positive." We'll use Happy Transformer, which makes it easy to implement models like BERT, DISTILBERT, ROBERTA, ALBERT and XLNET for this task.
Colab: https://colab.research.google.com/dri...
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Model: https://huggingface.co/distilbert-bas...
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Special thanks to the team over at Hugging Face.
https://huggingface.co/