On the public citation graph

AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm

0 signed · 54 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-022-08117-0openalex-snapshot
Dual dimensionality reduction on instance-level and feature-level for multi-label data
inferredcites →https://doi.org/10.1007/s11063-018-9925-2openalex-snapshot
Calibrated Multi-label Classification with Label Correlations
inferredcites →https://doi.org/10.1007/s11063-018-9952-zopenalex-snapshot
Fuzzy One-Class Extreme Auto-encoder
inferredcites →https://doi.org/10.1016/j.dss.2017.11.006openalex-snapshot
A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets
inferredcites →https://doi.org/10.1016/j.eswa.2014.08.036openalex-snapshot
A multi-label classification based approach for sentiment classification
inferredcites →https://doi.org/10.1016/j.eswa.2021.115905openalex-snapshot
Hybrid embedding-based text representation for hierarchical multi-label text classification
inferredcites →https://doi.org/10.1016/j.inffus.2017.12.001openalex-snapshot
Review of ensembles of multi-label classifiers: Models, experimental study and prospects
inferredcites →https://doi.org/10.1016/j.ins.2017.10.017openalex-snapshot
Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates
inferredcites →https://doi.org/10.1016/j.ipm.2019.102084openalex-snapshot
TDAM: A topic-dependent attention model for sentiment analysis
inferredcites →https://doi.org/10.1016/j.knosys.2019.06.035openalex-snapshot
Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis
inferredcites →https://doi.org/10.1016/j.knosys.2021.107073openalex-snapshot
Multiple-element joint detection for Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.neucom.2017.08.035openalex-snapshot
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data
inferredcites →https://doi.org/10.1016/j.neucom.2019.08.054openalex-snapshot
Knowledge-enhanced neural networks for sentiment analysis of Chinese reviews
inferredcites →https://doi.org/10.1016/j.neunet.2018.01.009openalex-snapshot
Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification
inferredcites →https://doi.org/10.1016/j.neunet.2019.10.002openalex-snapshot
Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification
inferredcites →https://doi.org/10.1016/j.patcog.2013.09.029openalex-snapshot
Dependent binary relevance models for multi-label classification
inferredcites →https://doi.org/10.1016/j.patcog.2019.01.009openalex-snapshot
Group preserving label embedding for multi-label classification
inferredcites →https://doi.org/10.1016/j.patcog.2019.01.017openalex-snapshot
A general tensor representation framework for cross-view gait recognition
inferredcites →https://doi.org/10.1016/j.patcog.2019.107164openalex-snapshot
Semi-supervised robust deep neural networks for multi-label image classification
inferredcites →https://doi.org/10.1017/s1351324920000029openalex-snapshot
Learning to rank for multi-label text classification: Combining different sources of information
inferredcites →https://doi.org/10.1109/access.2020.2981139openalex-snapshot
Interactive Rule Attention Network for Aspect-Level Sentiment Analysis
inferredcites →https://doi.org/10.1109/ssci51031.2022.10022177openalex-snapshot
Explainable Model-specific Algorithm Selection for Multi-Label Classification
inferredcites →https://doi.org/10.1109/tcyb.2017.2653223openalex-snapshot
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification
inferredcites →https://doi.org/10.1109/tcyb.2018.2809562openalex-snapshot
Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles
inferredcites →https://doi.org/10.1109/tfuzz.2017.2717803openalex-snapshot
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning
inferredcites →https://doi.org/10.1109/tip.2019.2894362openalex-snapshot
Coupled Patch Alignment for Matching Cross-View Gaits
inferredcites →https://doi.org/10.1109/tnnls.2018.2832648openalex-snapshot
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
inferredcites →https://doi.org/10.1109/tnnls.2021.3125366openalex-snapshot
Progressive Enhancement of Label Distributions for Partial Multilabel Learning
inferredcites →https://doi.org/10.1145/3458283openalex-snapshot
BiLabel-Specific Features for Multi-Label Classification
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301305openalex-snapshot
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/p19-1051openalex-snapshot
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
inferredcites →https://doi.org/10.18653/v1/p19-1053openalex-snapshot
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis
inferredcites →https://doi.org/10.3390/a13040083openalex-snapshot
Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content
inferredcites →https://doi.org/10.3390/app9061123openalex-snapshot
A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
inferredcites →https://doi.org/10.3390/biom11111591openalex-snapshot
Self-Attention-Based Models for the Extraction of Molecular Interactions from Biological Texts
inferredcites →https://doi.org/10.3390/e18060225openalex-snapshot
Extreme Learning Machine for Multi-Label Classification
inferredcites →https://doi.org/10.3390/electronics11030421openalex-snapshot
Machine Learning Technologies for Big Data Analytics
inferredcites →https://doi.org/10.3390/electronics11142138openalex-snapshot
Multilabel Text Classification Algorithm Based on Fusion of Two-Stream Transformer
inferredcites →https://doi.org/10.3390/electronics9030483openalex-snapshot
Sentiment Analysis Based on Deep Learning: A Comparative Study
inferredcites →https://doi.org/10.3390/info10050158openalex-snapshot
Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift
inferredcites →https://doi.org/10.3390/info8020052openalex-snapshot
Multi-Label Classification from Multiple Noisy Sources Using Topic Models
inferredcites →https://doi.org/10.3390/make1030048openalex-snapshot
A CNN-BiLSTM Model for Document-Level Sentiment Analysis
inferredcites →https://doi.org/10.3390/su141710844openalex-snapshot
Sentiment Analysis of Consumer Reviews Using Deep Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11831-024-10217-0openalex-snapshot
Advances in Sand Cat Swarm Optimization: A Comprehensive Study
inferred← citeshttps://doi.org/10.1007/s43069-026-00644-zopenalex-snapshot
Development of Adaptive Deep Bidirectional Residual RNN for Sentiment Analysis in Food Review
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100805openalex-snapshot
Sand cat swarm optimization: A comprehensive review of algorithmic advances, structural enhancements, and engineering applications
inferred← citeshttps://doi.org/10.1016/j.csl.2025.101866openalex-snapshot
Hybrid convolution (1D/2D)-based adaptive and attention-aided residual DenseNet approach on brain-computer interface for automatic imagined speech recognition framework
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113832openalex-snapshot
Aspect-based sentimental analysis using optimized multi-layered deep BiLSTM classifier
inferred← citeshttps://doi.org/10.1049/sfw2/9992594openalex-snapshot
HDR‐SA: A Hybrid Deep Learning and RoBERTa‐Based Framework for Sentiment and Aspect Analysis
inferred← citeshttps://doi.org/10.1109/access.2023.3327732openalex-snapshot
IMSCSO: An Intensified Sand Cat Swarm Optimization With Multi-Strategy for Solving Global and Engineering Optimization Problems
inferred← citeshttps://doi.org/10.1109/access.2024.3513321openalex-snapshot
A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques
inferred← citeshttps://doi.org/10.1142/s0219467826500154openalex-snapshot
Cascaded Adaptive Dilated Temporal Convolution Network-Based Efficient Sentiment Analysis Model from Social Media Posts
inferred← citeshttps://doi.org/10.1371/journal.pone.0307221openalex-snapshot
Innovative models for enhanced student adaptability and performance in educational environments
inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v10i5p111openalex-snapshot
Leveraging Deep Learning Models for Automated Aspect Based Sentiment Analysis and Classification
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.