Intelligent Text Analytics and Language Understanding

The subject comprises: human languages and language processing, machine learning and statistical methods for language understanding and text analytics, text classification and deep learning, sentiment analysis and opinion mining, information access and text mining, conversational agents, machine translation, computational semantics, computational linguistic creativity.

Students should have a basic and hands-on understanding of the currently used frameworks and methods for text analytics and natural language understanding, in particular the application of machine learning methods and large language models to text analytics and generation.

The lectures, presentations and exam will be given in English, unless all students speak Norwegian.