Text Mining Concept

Learning Outcomes

On successful completion of this course, students will be able to: Explain the basic concepts, core text mining operations and text mining pre-processing techniques; Analyse huge text collections, outline the major algorithms for performing text clustering and text pre-processing techniques; Apply probabilistic model for information extraction and pre-processing applications that use the probabilistic models; Analyse main aspects related to browsing large document collections and visualization techniques used either to visualize the document collection or the results obtained from the text mining operations.

Topics

1. Introduction/Overview of text mining
2. Text mining pre-processing Technique
3. Categorization
4. Clustering
5. Information Extraction (IR) models search using duplicate data
6. Probabilistic models for IE
7. Pre-processing applications using probabilistic and hybrid approaches
8. Visualization approach
9. Browsing and query refinement
10. Link analysis
11. Text mining application