A Holistic Study on Aspect-Based Sentiment Analysis

Abstract

Sentiment analysis, often known as opinion mining, is a technique used in natural language processing to determine the emotional undertone of a document. This is a common method used by organizations to identify and group ideas regarding a certain good, service, or concept. In business sectors, sentiment analysis is crucial in decision-making. Aspect-based sentiment analysis is a type of sentiment analysis that helps in company’s overall improvement by letting than know which characteristics of their products they should enhance in response to client’s feedback in order to turn them into top sellers. Many researchers in this area applied machine learning and deep learning approaches. There are issues regarding performance and accuracy in conventional machine learning sentiment analysis approaches. Thus, there is a need to improve accuracy and performance during aspect-based sentiment analysis. The objective of this research is to present a detailed review and comparative analysis of machine learning and deep learning approaches in aspect-based sentiment analysis.