Explore a comprehensive recipe for text analysis in social media through this 30-minute conference talk from EuroPython 2018. Dive into the growing importance of analyzing text data in social media for businesses to understand customer preferences. Learn about the challenges of processing real-time, unstructured language in social media posts. Discover how Naïve Bayes classifiers can be utilized for sentiment analysis, and understand the benefits of incorporating linguistic information to improve results. Compare supervised and unsupervised learning approaches for text analysis. Gain insights into opinion lexicons, both dictionary-based and corpus-based, and their applications in semi-supervised and supervised learning. If time permits, explore additional use cases for text analysis in social media.