LLMs for Sentiment Analysis Training Course
Large Language Models (LLMs) are deep neural network architectures capable of generating natural language text based on provided input or context.
This instructor-led live training (available online or onsite) is designed for intermediate-level data and marketing professionals looking to apply LLMs to analyze and interpret public sentiment from various text sources, including social media posts, product reviews, and customer feedback.
By the end of this training, participants will be able to:
- Understand the core principles of sentiment analysis and how to apply them using LLMs.
- Preprocess and prepare datasets effectively for sentiment analysis.
- Train and fine-tune LLMs to accurately capture sentiment within text.
- Analyze sentiment in real-time from social media and other textual sources.
- Integrate sentiment analysis insights into business strategies and decision-making processes.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
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
Requirements
- A solid understanding of basic machine learning concepts.
- Practical experience with text data preprocessing and analysis.
- Familiarity with Python programming.
Audience
- Data scientists and analysts.
- Marketing professionals.
- Product managers.
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
LLMs for Sentiment Analysis Training Course - Enquiry
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