• Marketing professionals
• Customer service representatives
• Business analysts
• Anyone curious about the power of AI in understanding human emotions through text

• Basic Computer Literacy
• Interest in AI and Text Analysis
• Understanding of Basic Data Concepts

Course Outline:

Module 1: Introduction to Sentiment Analysis

• Overview of Sentiment Analysis
• Definition and Importance
• Applications in Various Industries

Module 2: Basics of AI in Text Analysis

• Foundational Concepts of AI
• Understanding Machine Learning and NLP
• Role of AI in Analyzing Text Data

Module 3: Sentiment Analysis Techniques

• Text Preprocessing
• Tokenization, Lemmatization, and Stop Words
• Sentiment Classification
• Rule-Based Methods
• Machine Learning Approaches

Module 4: Practical Applications

• Customer Feedback Analysis
• Case Studies and Examples
• Social Media Monitoring
• Techniques and Tools
• Market Research
• Extracting Insights from Text Data

Module 5: Hands-On Exercises

• Implementing Sentiment Analysis
• Using AI Tools for Sentiment Analysis
• Analyzing Sample Text Data
• Interpreting Results and Drawing Conclusions

Module 6: Ethics and Challenges in Sentiment Analysis

• Bias in Data and Algorithms
• Ensuring Ethical Use of AI