Introduction to Sentiment, Subjectivity, and Stance; Overview, From Words to Discourse & Pragmatics, From Text to Tweets to Speech, Joint Models, Recognizing Stances, Arguments, and Viewpoints, Lexicon-based approaches to sentiment analysis, Exploiting dictionaries, Ontologies, Specialized corpora for detecting the sentiment polarity in texts, Machine learning approaches to sentiment analysis, Sentiment and polarity detection as a classification problem. Neural network architectures for sentiment analysis, Neural network for sentiment detection and polarity evaluation, Affect and emotion detection in texts., Methods and techniques for modeling the language of emotions using neural networks and statistical language models., Exploitation of multimodal data in combination with text to detect the language of emotions, Applications and case studies.