Text Classification: AI Techniques and Real-World Applications

Explore the fundamentals of text classification and its AI-powered applications in spam detection, sentiment analysis, and topic categorization. Delve into key techniques such as binary, multi-class, and multi-label classification, while addressing common challenges and best practices in AI model training. Discover how businesses leverage text classification to automate processes, enhance customer experience, and manage large volumes of data without human intervention. This 14-minute video by Carl Broker from IBM provides a comprehensive overview of text classification's role in AI, offering insights into its real-world applications and impact on business operations.

Text Classification: AI Techniques and Real-World Applications