QLearning: Step-by-Step NLP 101 Guide for Beginners
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NLP 101 is a step-by-step tutorial that introduces the fundamentals of NLP by performing sentiment analysis—a powerful tool to analyze public opinion and emotion in text data. I’ll walk you through how to use pretrained models from Hugging Face’s Transformers library and compare them to a straightforward lexicon-based approach using VADER. We’ll work with a unique dataset of college football stadium reviews drawn from one of my earlier research projects, discussing critical performance metrics—accuracy, precision, recall, and F1-score—to ensure we evaluate these methods effectively.
I welcome your feedback and thoughts on this tutorial. Let’s keep the conversation going, demystify AI, and learn together!