A Novel Classification Approaches by using Topic Modeling from Academic Social Network
P Sasikala1, P Mayilvahanan2
1P Sasikala, Research Scholar, Vels Institute of Science, Technology & Advanced Studies, VISTAS, Pallavaram, Chennai. India
2P Mayilvahanan, Professor, Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies, VISTAS, Pallavaram, Chennai. India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 04 May 2019 | Manuscript published on 30 May 2019 | PP: 1579-1581 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1209058119/19©BEIESP
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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: Now a day’s many term based and pattern-based methods used for demanding user desirable information from throng of forms. Topic showing such was projected to create numerous topics from group of forms. Topic sculpting has been utilized in machine learning. Attempt to apply the framework with two components: first component for extracting the themes in the article’s abstract by topic modeling and the second component for classifying those identified topics into the domain subject area. The problem of extracting from the huge dataset for author article relationship with appropriate classifier with best accuracy was considered by carrying out the experiment in this research work.
Index Terms: Data Mining, Bayes, Meta, Medical Informatics, Programming, Topic Modeling.
Scope of the Article: Classification