Integrating Ontology-Based Approaches with Deep Learning Models for Fine-Grained Sentiment Analysis
Source abstract
Abstract
Although sentiment analysis is pivotal to understanding user preferences, existing models face significant challenges in handling context-dependent sentiments, sarcasm, and nuanced emotions. This study addresses these challen... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Sentiment Analysis and Opinion Mining
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (21)
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1. Intelligent product redesign strategy with ontology-based fine-grained sentiment analysis
2. Ontology-driven as-pect-based sentiment analysis classification: An infodemiological case study regarding infectious diseases in Latin America10.1016/j.future.2020.06.019 ↗
3. Ontology-based approach for feature level sentiment analysis
4. Sentence-level aspect-based sentiment analysis for classifying adverse drug reactions (ADRs) using hybrid ontology-XLNet transfer learning10.1109/ACCESS.2021.3091394 ↗
5. Construction of an aspect-level sentiment analysis model for online medical reviews10.1016/j.ipm.2023.103513 ↗
6. Selective shallow models strength integration for emotion de-tection using GloVe and LSTM10.1007/s11042-021-10997-8 ↗
7. Emotion analysis on text using multiple kernel gaussian10.1007/s11063-021-10436-7 ↗
8. Fine-grained sentiment-enhanced collaborative filter-ing-based hybrid recommender system
9. An ontology of emotion process to support sentiment analysis
10. A comprehensive survey on deep learning-based ap-proaches for multimodal sentiment analysis10.1007/s10462-023-10555-8 ↗
11. Emotion ontology studies: A framework for expressing feel-ings digitally and its application to sentiment analysis10.1145/3555719 ↗
12. Federated multidomain learning with graph ensemble autoen-coder GMM for emotion recognition10.1109/TITS.2022.3203800 ↗
13. Aspect level sentiment analysis based on deep learning and ontologies10.1007/s42979-023-02362-3 ↗
14. Minimizing emotional labor through artificial intelligence for effective labor manage-ment of English teachers10.61091/jcmcc117-04 ↗
15. Machine learning and ontology-based novel semantic document indexing for information retrieval10.1016/j.cie.2022.108940 ↗
16. Uncertainty analysis in ontology-based knowledge representation10.1007/s00354-022-00162-6 ↗
17. Enhancement of fake reviews classification using deep learning hybrid models
18. Learning speaker-independent multimodal representation for sentiment analysis10.1016/j.ins.2023.01.116 ↗
19. Cross-domain sentiment aware word embeddings for review sentiment analysis10.1007/s13042-020-01175-7 ↗
20. Aremotive bridging the gap: Automatic ontology augmentation using zero-shot classification for fine-grained sentiment analysis of Arabic text10.1109/ACCESS.2023.3300737 ↗
21. A review of the trends and challenges in adopting natural language processing methods for education feedback analysis10.1109/ACCESS.2022.3177752 ↗