Natural Language Processing and Recommender Systems
| Course Code | COMP-262 |
|---|---|
| Lecture hours per week | 2 |
| Lab hours per week | 2 |
| Course Availability | Open |
| Description | The first part of this course focuses on natural language processing concepts and techniques. Topics include sentiment analysis, summarization, and dialogue state tracking. Students will apply these concepts to build a conversational interface (chatbot). The second part of the course introduces recommender systems for predicting user preferences. Topics include fundamental techniques used in recommender systems, such as association rules and collaborative filtering. More advanced techniques will also be explained. |