Title :
MEU Analysis of DECICLUS Approach for Multilingual Text Categorization
Author :
Kumar, Gulshan ; Rai, Mritunjay Kumar
Author_Institution :
Dept. of Comput. Sci. & Eng., Lovely Prof. Univ., Jalandhar, India
Abstract :
In this paper, we have showed a hybrid approach to categorize the multilingual text documents using supervised and unsupervised learning techniques. To serve the purpose, we have selected decision tree technique from supervised category and clustering technique from unsupervised category to form our hybrid system DECICLUS. In our following paper, we have also done analysis of our novel approach based on maintenance, efficiency, usability (MEU) which shows that our approach have potentials for multilingual text categorization.
Keywords :
decision trees; maintenance engineering; natural language processing; pattern clustering; text analysis; unsupervised learning; DECICLUS approach; MEU analysis; clustering technique; decision tree technique; hybrid approach; maintenance-efficiency-usability analysis; multilingual text categorization; multilingual text document categorization; supervised category; supervised learning techniques; unsupervised category; unsupervised learning techniques; Clustering algorithms; Decision trees; Maintenance engineering; Stability analysis; Supervised learning; Text categorization; Unsupervised learning; DECICLUS; clusters; corpora; decision tree; efficiency; maintenance; stability; supervised; text categorization; unsupervised; usability;
Conference_Titel :
Computing Sciences (ICCS), 2012 International Conference on
Conference_Location :
Phagwara
Print_ISBN :
978-1-4673-2647-6
DOI :
10.1109/ICCS.2012.45
