Hybrid Approach for Multi Domain Aspect Extraction Using Specific Closed Sequential Pattern and Extended Random Set Technique

Hybrid Approach for Multi Domain Aspect Extraction Using Specific Closed Sequential Pattern and Extended Random Set Technique

Authors- Sani Abdullahi

Abstract-– Our studies have been focusing on extracting better aspects that carry more weight from a textual dataset. One solution is to use data mining techniques, such as low minimum support for extracting sequential, relevant, specific and informative features .Such methods adopted the concept of extracting sequential patterns and assign high weight to top-k features based on the Extended Random Set (ERS) probability weight by pruning non-closed pattern from the representation by removing noisy features.

DOI: /10.61463/ijset.vol.13.issue2.408