Hierarchical Fusion Network with Enhanced Knowledge and Contrastive Learning for Multimodal Aspect-Based Sentiment Analysis on Social Media. [PDF]
Hu X, Yamamura M.
europepmc +1 more source
Position Perceptive Multi-Hop Fusion Network for Multimodal Aspect-Based Sentiment Analysis [PDF]
Hao Fan, Junjie Chen
openalex +1 more source
Social media has become an essential part of everyday communication, including within the library context. Twitter, in particular, provides an Application Programming Interface (API) that enables real-time and comprehensive text-mining analyses of users’
Evi Fatimatur Rusydiyah +1 more
doaj +1 more source
On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19. [PDF]
Chaudhary M +3 more
europepmc +1 more source
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference [PDF]
Jialong Wu +3 more
openalex +1 more source
Aspect based sentiment analysis using multi-criteria decision-making and deep learning under COVID-19 pandemic in India. [PDF]
Dutta R, Das N, Majumder M, Jana B.
europepmc +1 more source
Aspect-Based Sentiment Analysis Using Attribute Extraction of Hospital Reviews. [PDF]
Bansal A, Kumar N.
europepmc +1 more source
Systematic literature review of arabic aspect-based sentiment analysis
Salha Alyami +2 more
openalex +1 more source
Aspect Based Sentiment Analysis on Codemix Languages
Abstract In the era of social media, where multilingual conversations are prevalent, analyzing code-mixed text poses unique challenges. This project presents a comparative analysis of sentiment analysis and aspect-based sentiment analysis on code-mixed data using advanced techniques like Large Language Models (LLM), BERT, and Naive Bayes.
openaire +1 more source
Understanding COVID-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis. [PDF]
Feizollah A +4 more
europepmc +1 more source

