Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches

Sentiment analysis (SA) is also known as opinion mining, it the process of gathering and analyzing people's opinions about a particular service, good, or company on websites like Twitter, Facebook, Instagram, LinkedIn, blogs, among other places. This article covers thorough SA its levels. manuscript's main focus aspect-based SA, which helps manufacturing organizations make better decisions by examining consumers' viewpoints their products. The many approaches methods used in sentiment are covered this review study (ABSA). features associated with aspects were manually drawn out traditional methods, made time-consuming error-prone operation. Nevertheless, these restrictions may be overcome artificial intelligence develops. Therefore, to increase effectiveness ABSA, researchers increasingly using AI-based machine learning (ML) deep (DL) techniques. Additionally, certain recently released ABSA based ML DL examined, contrasted, research, gaps both methodologies discovered. At conclusion study, difficulties that current models encounter emphasized, along suggestions can improve efficacy precision systems.