Sentiment Analysis and Social Listening with AI
The course covers practical methods for implementing sentiment analysis and leveraging social listening to drive better customer engagement, marketing strategies, and brand management.
Duration: 1 Day
Hours: 4 Hours
Training: Live Training
Training Level: All Level
About the Course:
This course provides an in-depth look at how AI can be applied to understand customer sentiment and perform social listening. Participants will learn about AI techniques for analyzing large volumes of text data from social media and other digital channels to gain insights into customer opinions, brand perception, and market trends.
Course Objective:
- The course covers practical methods for implementing sentiment analysis and leveraging social listening to drive better customer engagement, marketing strategies, and brand management.
Who is the Target Audience?
- Marketing and brand managers
- Customer experience and engagement professionals
- Social media managers and analysts
- Business leaders interested in leveraging AI for customer insights
Basic Knowledge:
- Basic understanding of social media and marketing principles
- No prior technical expertise in AI or sentiment analysis is required
Curriculum
Total Duration: 4 Hours
Introduction to Sentiment Analysis and Social Listening
- What is Sentiment Analysis? Overview and Key Concepts
- Understanding Social Listening and Its Business Value
- Key AI Techniques Used in Sentiment Analysis
- Case Studies: How Companies Use Social Listening to Improve Customer Engagement
Core AI Techniques for Sentiment Analysis
- Natural Language Processing (NLP) for Text Analysis
- Machine Learning Models for Sentiment Classification
- Advanced Techniques: Using Deep Learning for Sentiment Analysis
- Working with Text Data: Tokenization, Stemming, and Sentiment Scoring
Implementing Social Listening with AI
- Tools and Platforms for AI-Driven Social Listening
- Setting Up Automated Sentiment Tracking for Social Media
- Analyzing Trends, Topics, and Influencers
- Case Study: Leveraging Social Listening to Shape Brand Strategy
Real-World Applications of Sentiment Analysis
- Monitoring Brand Reputation and Customer Feedback
- Identifying Customer Pain Points and Product Improvement Opportunities
- Predictive Insights for Marketing and Campaign Planning
- Sentiment Analysis for Crisis Management
Ethical and Practical Considerations
- Ensuring Privacy and Compliance in Social Listening
- Avoiding Bias and Misinformation in Sentiment Analysis
- Responsible Use of AI in Public Sentiment Tracking
- Building Trust and Transparency with Social Media Monitoring
Future of Sentiment Analysis and Social Listening
- Emerging Trends: Real-Time Analysis and Emotion Detection
- Integrating Social Listening with Customer Experience Management (CXM)
- Preparing for the Future: Skills and Tools for AI in Social Listening
- Q&A and Interactive Discussion