Duality-Driven Aspect Sentiment Triplet Extraction with LLM and Iterative Reinforcement
SymmetryAspect-based sentiment triplet extraction tasks remain a long-standing challenge, which aim to achieve aspect, opinion, and sentiment polarity from sentences. Most existing methods achieve excellent performance by exploring the interactions between aspect and opinion terms.
Xun Li, Kun Zhang, Danjie Han
openaire +1 more source
Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data. [PDF]
Sci Rep, 2022 Shanmugavadivel K +5 more
europepmc +1 more source
SentiHealth: creating health-related sentiment lexicon using hybrid approach [PDF]
, 2016 core +1 more source
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
Aspect Sentiment Triplet Extraction (ASTE) is a burgeoning subtask of fine-grained sentiment analysis, aiming to extract structured sentiment triplets from unstructured textual data.
Gu, Qinying +4 more
core
A deep learning approach for aspect sentiment triplet extraction in portuguese and spanish. [PDF]
, 2022 Jose de Jesus Meléndez Barros
openalex +1 more source
Dynamic Invariant-Specific Representation Fusion Network for Multimodal Sentiment Analysis. [PDF]
Comput Intell Neurosci, 2022 He J, Yanga H, Zhang C, Chen H, Xua Y.
europepmc +1 more source
Explainable AI with fine-tuned large language models for sustainable cultural heritage management. [PDF]
Sci RepZhou K +6 more
europepmc +1 more source
LM-SODP: Language Model Self-Optimizing Discrete Prompt for Aspect Based Sentiment Analysis. [PDF]
Entropy (Basel)Bu K, Liu Y.
europepmc +1 more source
A hybrid framework for notebook market analysis: Integrating social media sentiment mining with expert knowledge for feature prioritization. [PDF]
PLoS OneMaghsoudi M, Bakhtiari M, Bakhtiari H.
europepmc +1 more source
Improving medical experts' efficiency of misinformation detection: an exploratory study. [PDF]
World Wide Web, 2023 Nabożny A +5 more
europepmc +1 more source