A Metaheuristic Approach for Solving Feature Selection in Sentiment Analysis Problem
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, A familiar 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 peculiarmethod in solving the sentiment analysis is feature selection technique. Yet, this methodincludes a combinatorial behavior and the analysis of the huge data can experience in solving the combinatorial feature selection problem. This paper proposes a new metaheuristic approach based on the movement of non basic variables..