KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis
G D'Aniello, M Gaeta, I La Rocca - Artificial Intelligence Review, 2022 - Springer
The analysis of the opinions of customers and users has been always of great interest in
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
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 …
Learning span-level interactions for aspect sentiment triplet extraction
Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs
triplets of an aspect target, its associated sentiment, and the corresponding opinion term …
triplets of an aspect target, its associated sentiment, and the corresponding opinion term …
Position-aware tagging for aspect sentiment triplet extraction
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting the triplets of target
entities, their associated sentiment, and opinion spans explaining the reason for the …
entities, their associated sentiment, and opinion spans explaining the reason for the …
Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …
better comprehend long complicated sentences and obtain accurate aspect-specific …
CRF-GCN: An effective syntactic dependency model for aspect-level sentiment analysis
B Huang, J Zhang, J Ju, R Guo, H Fujita, J Liu - Knowledge-Based Systems, 2023 - Elsevier
Attention-based models have been widely used in aspect-level sentiment analysis owing to
their contextual semantic-alignment capabilities. However, these models lack a mechanism …
their contextual semantic-alignment capabilities. However, these models lack a mechanism …
[PDF][PDF] Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching.
Abstract Targeted Multimodal Sentiment Classification (TMSC) aims to identify the sentiment
polarities over each target mentioned in a pair of sentence and image. Existing methods to …
polarities over each target mentioned in a pair of sentence and image. Existing methods to …
Aspect-level sentiment analysis based on semantic heterogeneous graph convolutional network
The deep learning methods based on syntactic dependency tree have achieved great
success on Aspect-based Sentiment Analysis (ABSA). However, the accuracy of the …
success on Aspect-based Sentiment Analysis (ABSA). However, the accuracy of the …
Learn from structural scope: Improving aspect-level sentiment analysis with hybrid graph convolutional networks
Aspect-level sentiment analysis aims to determine the sentiment polarity towards a specific
target in a sentence. The main challenge of this task is to effectively model the relation …
target in a sentence. The main challenge of this task is to effectively model the relation …
ToxiSpanSE: An explainable toxicity detection in code review comments
Background: The existence of toxic conversations in open-source platforms can degrade
relationships among software developers and may negatively impact software product …
relationships among software developers and may negatively impact software product …