International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 121

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 1, January 2014


A Genetic Model with Semantic Analysis for Feedback Classification

Shanmuga Priya.A | Vijayakumar.P


Abstract: An opinion, sentiment and topic detection system uses G-Tose algorithm and its work is based on the semantic analysis and string co-occurrence rules. Compared with classical search and optimization, Genetic approaches are less stuck in local suboptimal regions of search space because they perform multiple searches for a solution. A G-Tose (GA) is a search based, self-learning algorithm that imitates the theory of natural evaluation based on selective screening of results based on fitness of purpose. The system evaluation results show precision of 90.25 % respectively for feedback review process.


Keywords: G-Tose=Genetic approach for Topic, opinion and semantic extraction


Edition: Volume 3 Issue 1, January 2014,


Pages: 147 - 150

A Genetic Model with Semantic Analysis for Feedback Classification


How to Cite this Article?

Shanmuga Priya.A, Vijayakumar.P, "A Genetic Model with Semantic Analysis for Feedback Classification", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=08011403, Volume 3 Issue 1, January 2014, 147 - 150, #ijsrnet

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