A survey on aspect-based sentiment analysis: Tasks, methods, and challenges
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey
In contrast to earlier ABSA studies primarily concentrating on individual sentiment
components, recent research has ventured into more complex ABSA tasks encompassing …
components, recent research has ventured into more complex ABSA tasks encompassing …
Survey on aspect category detection
In recent years, aspect category detection has become popular due to the rapid growth in
customer reviews data on e-commerce and other online platforms. Aspect Category …
customer reviews data on e-commerce and other online platforms. Aspect Category …
Target-aspect-sentiment joint detection for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) aims to detect the targets (which are composed by
continuous words), aspects and sentiment polarities in text. Published datasets from …
continuous words), aspects and sentiment polarities in text. Published datasets from …
SentiLARE: Sentiment-aware language representation learning with linguistic knowledge
Most of the existing pre-trained language representation models neglect to consider the
linguistic knowledge of texts, which can promote language understanding in NLP tasks. To …
linguistic knowledge of texts, which can promote language understanding in NLP tasks. To …
Aspect-category based sentiment analysis with hierarchical graph convolutional network
Most of the aspect based sentiment analysis research aims at identifying the sentiment
polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture …
polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture …
Enhancing Arabic aspect-based sentiment analysis using deep learning models
Aspect-based sentiment analysis is a special type of sentiment analysis that aims to identify
the discussed aspects and their sentiment polarities in a given review. In this paper, two …
the discussed aspects and their sentiment polarities in a given review. In this paper, two …
ASAP: A Chinese review dataset towards aspect category sentiment analysis and rating prediction
Sentiment analysis has attracted increasing attention in e-commerce. The sentiment
polarities underlying user reviews are of great value for business intelligence. Aspect …
polarities underlying user reviews are of great value for business intelligence. Aspect …
Multiple-element joint detection for aspect-based sentiment analysis
Abstract Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task,
which aims to detect target-aspect-sentiment elements in a sentence. Most of the existing …
which aims to detect target-aspect-sentiment elements in a sentence. Most of the existing …
EAFL: Equilibrium Augmentation Mechanism to Enhance Federated Learning for Aspect Category Sentiment Analysis
Abstract Aspect Category Sentiment Analysis (ACSA) involves identifying sentiment
categories for specific aspects of a sentence. Despite the progress made in pre-trained …
categories for specific aspects of a sentence. Despite the progress made in pre-trained …