Improving Document-Level Sentiment Analysis with User and Product Context

International Conference on Computational Linguistics (COLING), 2020

18 November 2020

Papers citing "Improving Document-Level Sentiment Analysis with User and Product Context"

7 / 7 papers shown

Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2025

289

08 Mar 2025

SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

270

06 Mar 2025

Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity

188

10 Mar 2024

Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis

Jun Xu

187

28 Nov 2023

The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Pranav Narayanan Venkit

248

18 Oct 2023

Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple AnalysisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

359

27 Sep 2023

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis

Yue Zhang

129

17 Dec 2022