INFORMATION RETRIEVAL (2 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to: Explain the fundamental of information retrieval concept; Apply various methods of text representation for information retrieval; Experiment several IR Implementations for text dataset.
Topics:
- Introductory lecture
- Basic Concepts
- Retrieval Models
- Probabilistic Retrieval Models
- Language Models
- Link Analysis
- Collaborative Filtering
- Text Categorization and Clustering
- Learning to Rank
- IR Use Cases – Distributed Word representation for IR
- IR Use Cases – Sentiment Analysis
- IR Use Cases – Question Answering
- Project Submission and Review
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