期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：8
语种：English
出版社：Journal of Theoretical and Applied
摘要：Huge business data could make data analysis becomes problematic such that the decision-making procedure would be improbable. In the topics of consumer buying behavior, an interesting technique known as sentiment analysis can support in obtaining information about the latest trends and is capable to raise market value of product through upgrading its quality. One peculiar method in solving the sentiment analysis is feature selection technique. Yet, this method includes a combinatorial behavior and the analysis of the huge data can experience difficulty in solving the combinatorial feature selection problem. In order for tackling the combinatorial problem, this paper proposes a new metaheuristic approach based on the movement of non basic variables,in such a way could force the basic non-integer variables to take integer values. The combinatorial structure of the feature selection approach for sentiment analysis can be implemented in various marketing applications.
