Table of contents : Title Page Contents Chapter 1: Introduction to Sentiment Analysis in Trading Chapter 2: Basics of Financial Markets and Trading Chapter 3: Principles of Sentiment Analysis Chapter 4: Introduction to Python for Data Analysis Chapter 5: Data Collection for Sentiment Analysis Chapter 6: Text Processing and Natural Language Processing (NLP) in Python Chapter 7: Machine Learning for Sentiment Analysis Chapter 8: Sentiment Analysis Model Development Chapter 9: Integrating Sentiment Analysis into Trading Strategies Chapter 10: Case Studies and Applications Chapter 11: Visualizing Sentiment and Trading Data Chapter 12: The Future of Sentiment Analysis in Trading Additional Resources