klotz: sentiment analysis* + data science*

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  1. This tutorial demonstrates how to perform semantic clustering of user messages using Large Language Models (LLMs) by prompting them to analyze publicly available Discord messages. It covers methods for data extraction, sentiment scoring, KNN clustering, and visualization, emphasizing faster and less effort-intensive processes compared to traditional data science approaches.

  2. This tutorial covers fine-tuning BERT for sentiment analysis using Hugging Face Transformers. Learn to prepare data, set up environment, train and evaluate the model, and make predictions.

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