As a subtask of sentiment analysis, aspect-based analysis (ABSA) refers to identifying the polarity given aspect. The state-of-the-art ABSA models are developed by using graph neural networks deal with semantics and syntax sentence. These methods challenged two issues. For one thing, semantic-based convolution fail capture relation between aspect its opinion word. another, minor attention is as...

Abstract. Purpose: Consumer opinion is one of the essential keys that affect success a product. Sentiment analysis consumer needed to find out information about customer satisfaction for companies in decision-making process. The traditional sentiment process extracts complete from single sentence. However, it does not consist only total number depends on aspects make up Therefore, pay attention...

Fine-grained sentiment analysis, known as Aspect-Based Sentiment Analysis (ABSA), establishes the polarity of a section text concerning particular aspect. Aspect, sentiment, and emotion categorisation are three steps that make up configuration ABSA, which we looked into for dataset English reviews. In this work, due to fuzzy nature textual data, investigated machine learning methods based on ro...

Sentiment analysis is the processing of textual data and giving positive or negative opinions to sentences. In ABSA dataset, most sentences contain one aspect sentiment polarity, have multiple identical polarities, which weakens polarity dataset. Therefore, this paper uses SemEval 14 Restaurant Review in each document symmetrically divided into individual sentences, two versions datasets ATSA A...