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) …

A survey on aspect-based sentiment analysis: Tasks, methods, and challenges

W Zhang, X Li, Y Deng, L Bing… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Learning span-level interactions for aspect sentiment triplet extraction

L Xu, YK Chia, L Bing - arXiv preprint arXiv:2107.12214, 2021 - arxiv.org
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 …

Position-aware tagging for aspect sentiment triplet extraction

L Xu, H Li, W Lu, L Bing - arXiv preprint arXiv:2010.02609, 2020 - arxiv.org
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 …

Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis

Q Zhong, L Ding, J Liu, B Du, H Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
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 …

[PDF][PDF] Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching.

J Yu, J Wang, R Xia, J Li - IJCAI, 2022 - ijcai.org
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 …

Aspect-level sentiment analysis based on semantic heterogeneous graph convolutional network

Y Zeng, Z Li, Z Chen, H Ma - Frontiers of Computer Science, 2023 - Springer
The deep learning methods based on syntactic dependency tree have achieved great
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

L Xu, X Pang, J Wu, M Cai, J Peng - Neurocomputing, 2023 - Elsevier
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 …

ToxiSpanSE: An explainable toxicity detection in code review comments

J Sarker, S Sultana, SR Wilson… - 2023 ACM/IEEE …, 2023 - ieeexplore.ieee.org
Background: The existence of toxic conversations in open-source platforms can degrade
relationships among software developers and may negatively impact software product …