- Identify basic IR models.
- Understand basic tokenizing, indexing, and implementation of Vector-Space RetrievalApply experimental evaluation of IR.
- Differentiate categorization algorithms SVM, Rocchio, nearest neighbor and naive Bayes.
- Learn clustering algorithms agglomerative clustering k-means.
- Learn Information retrieval concepts in World Wide Web domain.
Bachelor of Computer Science - 132 CRs
Data will be available soon!
content serial | Description |
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1 | Introduction |
2 | What is Information Retrieval |
3 | Building Dictionary |
4 | TF-IDF |
5 | TF-IDF-2 |
6 | Vector Space |
7 | Naive Bayes |
8 | Naive Bayes-Text Classification |
9 | KNN-Text Classification |
10 | Rocchio-Text Classification |
11 | SVM-Text Classification |
12 | Support Vector Machine |
13 | Link Analysis |
14 | Crawling |
15 | Revision |
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