LLMs for Sentiment Analysis Training Course
Large Language Models (LLMs) are advanced deep neural network models capable of generating natural language text based on provided input or context.
This instructor-led, live training (conducted online or onsite) is designed for intermediate-level data and marketing professionals who aim to utilize LLMs to analyze and interpret public sentiment from various text sources such as social media posts, product reviews, and customer feedback.
By the end of this training, participants will be able to:
- Understand the principles of sentiment analysis and its application using LLMs.
- Preprocess and prepare datasets for sentiment analysis.
- Train and fine-tune LLMs to accurately reflect sentiment in text.
- Analyze sentiment in real-time from social media and other text sources.
- Integrate sentiment analysis findings into business strategies and decision-making processes.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for government or other specific needs, please contact us to arrange.
Course Outline
Introduction to Sentiment Analysis for Government
- Fundamentals of sentiment analysis in public sector applications
- Challenges and opportunities for government in sentiment analysis
- Overview of Large Language Models (LLMs) and their capabilities for government use
LLMs and Natural Language Understanding for Government
- Deep dive into LLM architecture tailored for government workflows
- Understanding context and sentiment with LLMs in public sector contexts
- Preprocessing data for sentiment analysis to meet government standards
Building Sentiment Analysis Models with LLMs for Government
- Training LLMs for sentiment analysis in government settings
- Fine-tuning models for specific public sector domains
- Practical exercises on model training aligned with government needs
Analyzing Social Media with LLMs for Government
- Collecting social media data for analysis in government contexts
- Real-time sentiment tracking on social platforms for public sector insights
- Case studies of social sentiment analysis in government applications
Sentiment Analysis in Customer Feedback for Government
- Extracting insights from customer reviews and surveys for improved public services
- Enhancing customer service with sentiment analysis in government agencies
- Workshop on feedback analysis tailored for government use
Advanced Topics in Sentiment Analysis for Government
- Addressing sarcasm, irony, and complex emotions in public sector communications
- Cross-language sentiment analysis for diverse government audiences
- Future trends in sentiment analysis with LLMs for government applications
Ethical Considerations and Bias Mitigation for Government
- Ethical implications of sentiment analysis in the public sector
- Identifying and mitigating bias in models used by government agencies
- Responsible use of sentiment analysis to ensure accountability and transparency
Project and Assessment for Government
- Analyzing sentiment from a chosen dataset relevant to government operations
- Peer reviews and group discussions focused on government applications
- Final assessment and feedback aligned with public sector goals
Summary and Next Steps for Government
Requirements
- An understanding of fundamental machine learning concepts for government applications
- Experience with preprocessing and analyzing text data for government projects
- Familiarity with Python programming for government use cases
Audience
- Data scientists and analysts in the public sector
- Marketing professionals for government agencies
- Product managers within government organizations
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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