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

• In-depth exploration of LLM architecture
• Understanding context and sentiment through 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

Analysing Social Media with LLMs

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

Sentiment Analysis in Customer Feedback

• Extracting insights from customer reviews and surveys
• Enhancing customer service through 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

• Analysing sentiment from a selected dataset
• Peer reviews and group discussions
• Final assessment and feedback

Summary and Next Steps