Publication Type : Conference Paper
Publisher : IEEE
Source : 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)
Url : https://doi.org/10.1109/icecds.2017.8389748
Campus : Mysuru
School : School of Computing
Department : Computer Science and Engineering
Year : 2017
Abstract : This study explores the importance of stemmers, its strength, and similarity metrics with newly defined stemmer called modified stemmer and also with predefined stemmers or stemming algorithms. This paper also evaluates the performance using metrics such as SWF (Stemmed Word's Factor), WCSF (Word's Correct Stemmed Factor), and WACF (Word's Average Conflation Factor). When compared with other stemmers, the precision of proper root form seems to be good with paice/husk and with modified stemmers.
Cite this Research Publication : Priya Govindarajan, K. S. Ravichandran, Modified stemmer for a medical system — evaluated using predefined metrics, 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), IEEE, 2017, https://doi.org/10.1109/icecds.2017.8389748