Implicit aspect based sentiment analysis for restaurant review using LDA topic modeling and ensemble approach

Abstract

The internet is a global web that links millions of people, and therefore, it has become the hub of modern-day social life [1]. It is widely appreciated for providing an open platform where individuals can connect and express their opinions on anything and everything in their environment. However, it can be difficult for an individual to trawl through each online resource. Therefore, approaches for evaluating this collection of documents are essential. *Author for correspondenceAs a result, techniques like feature (aspect) extraction and sentiment analysis play a crucial role in leading individuals, businesses, and organizations in the right direction. This work seeks to provide insight into features concerning the desired domain.Sentiment analysis is the act of examining whether a piece of writing (e.g. tweets or reviews about books, movies, restaurants etc.) is negative, positive, or neutral in its tone. It's also known as sentiment mining and involves analyzing opinions, assessments, feelings or attitudes about topics, people or organizations [2]. For example: "I love the garlic noodles at your restaurant" could be classified as a