LLMs for Sentiment Analysis Training Course

Introduction to Sentiment Analysis

• Fundamentals of sentiment analysis.
• Challenges and opportunities in sentiment analysis.
• Overview of LLMs and their capabilities.

LLMs and Natural Language Understanding

• Deep dive into LLMs architecture.
• Understanding context and sentiment with LLMs.
• Preprocessing data for sentiment analysis.

Building Sentiment Analysis Models with LLMs

• Training LLMs for sentiment analysis.
• Fine-tuning models for specific domains.
• Practical exercises on model training.

Analyzing Social Media with LLMs

• Collecting social media data for analysis.
• Real-time sentiment tracking on social platforms.
• Case studies of social sentiment analysis.

Sentiment Analysis in Customer Feedback

• Extracting insights from customer reviews and surveys.
• Enhancing customer service with sentiment analysis.
• Workshop on feedback analysis.

Advanced Topics in Sentiment Analysis

• Addressing sarcasm, irony, and complex emotions.
• Cross-language sentiment analysis.
• Future trends in sentiment analysis with LLMs.

Ethical Considerations and Bias Mitigation

• Ethical implications of sentiment analysis.
• Identifying and mitigating bias in models.
• Responsible use of sentiment analysis.

Project and Assessment

• Analyzing sentiment from a chosen dataset.
• Peer reviews and group discussions.
• Final assessment and feedback.

Summary and Next Steps