Sentiment Analysis with Variables: A Comprehensive Deep Learning Project — PT. I | by Leo Anello 💡 | January, 2025

Transformers fine-tune, compare deep learning architectures, and generate sentiment analysis models.

This project provides detailed information, a step-by-step guide to fine-tuning the Transformer model for emotion classification as we walk you through the machine learning path.

Want to know more? I DELETE project repository it awaits you in the Bibliography section at the end of this course, where you can check all the details hands on.

We begin by defining the problem and preparing the data, then proceed to build, train, and test the models.

The focus is fine tuning the Transformer modelbut we also compare its performance two traditional structures of deep learningensuring a full understanding of the mechanisms involved.

Key concepts such as deep learning architecture, metric interpretation, and deployment are highlighted throughout the project.

This is a comprehensive learning experiencedesigned to deepen your understanding of modern Machine Learning techniques.

The data used is taken from carblacac/twitter-sentiment-analysis (Apache 2.0…