A Systematic Review on Artificial Intelligence-based Opinion Mining Models

Abstract

Opinion mining acts as a significant tool in assisting potential customers to make better purchase decisions. In the area of business intelligence, it shapes product innovation and reduces the risks associated with moving to new markets. Thus, the opinion mining from the customer reviews becomes important task for every organization. Therefore, this article focused on detailed survey on artificial intelligence (AI)-based opinion mining models. Further, the conventional methods include deep learning models, feature extraction mechanisms, and machine learning models. However, the state of art approaches is failed to provide the maximum accuracy due to changes in the datasets. The main objective of this article is to design a contrastive opinion summarization objective that would take advantage of context information present in the sentences to create a concise contrastive summary. The resulting summary will present the most important differences in opinion between two products based on their features.