Conflation Methods in Stemming Algorithm
Jennifer .P1, A. Muthukumaravel2
1Jennifer .P, Research Scholar & Assistant Professor, Department of CS, Faculty of Arts & Sci., BIHER, Chennai India.
2Dr. A. Muthukumaravel, Dean-Faculty of Arts & Sci., BIHER, Chennai India.
Manuscript received on 15 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 11 October 2019 | PP: 1176-1180 | Volume-8 Issue-11S September 2019 | Retrieval Number: K123709811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1237.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We began the domain examination process by social occasion source information. We gathered distributed papers in the conflation algorithms branch of knowledge as domain archives and the source code of conflation algorithms for system engineering examination. In the wake of building skill about the conflation algorithms domain, we rounded out system portrayal surveys for every last one of these algorithms. Imperative segments of our domain investigation process are in the accompanying subsections. With the gigantic measure of information accessible on the web, it is extremely fundamental to recover precise information for some client inquiry. There are heaps of methodologies used to expand the adequacy of online information retrieval. The conventional methodology used to recover information for some client question is to search the reports present in the corpus word by word for the given inquiry. This methodology is extremely tedious and it might miss a portion of the related records of equivalent significance. Therefore to stay away from these circumstances, Stemming has been broadly utilized in different Information Retrieval Systems to build the retrieval exactness.
Keywords: Algorithm, Conflation, Information Retrieval Systems
Scope of the Article: Algorithm Engineering