Natural Language Processing and Recommender Systems

The first part of this course focuses on natural language procession concepts and techniques. Topics include sentiment analysis, summarization, dialogue state tracking, etc. Students will apply these concepts to build a conversational interface (chat bot).

The second part of the course introduces recommender systems for predicting user preferences. Topics include the most fundamental techniques used in recommender systems, such as association rules and collaborative filtering. More advanced techniques will be also explained.  

Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.