A Genetic Model with Semantic Analysis for Feedback Classification
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
How to Cite?: Shanmuga Priya.A, Vijayakumar.P, "A Genetic Model with Semantic Analysis for Feedback Classification", Volume 3 Issue 1, January 2014, International Journal of Science and Research (IJSR), Pages: 147-150, https://www.ijsr.net/getabstract.php?paperid=08011403, DOI: https://dx.doi.org/10.21275/08011403