Tags: sentiment analysis*

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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 article provides a comprehensive guide on the basics of BERT (Bidirectional Encoder Representations from Transformers) models. It covers the architecture, use cases, and practical implementations, helping readers understand how to leverage BERT for natural language processing tasks.

  3. This article explains BERT, a language model designed to understand text rather than generate it. It discusses the transformer architecture BERT is based on and provides a step-by-step guide to building and training a BERT model for sentiment analysis.

  4. Analyzing Hacker News posts and comments using LLMs to understand community sentiment and trending topics.

  5. 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.

  6. 2022-06-03 Tags: , , , by klotz

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