FoodABSANet: Developing an adaptive graph convolutional neural network for aspect-based sentiment analysis of food reviews with a weighted polarity score.

-Aspect-Based Sentiment Analysis (ABSA) is considered a unique variant, which intends to identify the opinions regarding delicate topics. However, it is a neglected topic of study, ABSA attempts to find out the sentiment polarity on particular characteristics within statements, enabling more precise mining of consumers' emotional polarities regarding various aspects. The conversion of the conventional rating-aided recommendation approach into an effective aspect-aided procedure is made easier by this evaluation. The ABSA in hotel ratings serves as an essential. ABSA analyses an extensive choice of comments that expand a far trouble-free good, poor opinions that delve into particular factors addressed in the analysis. However, ABSA struggles to maintain numerous aspects that influence one another. In the past few years, deep learning techniques have been employed to analyze text emotion with outstanding outcomes.