Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey
A Pandey, DK Vishwakarma - Applied Soft Computing, 2024 - Elsevier
Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
A survey on aspect-based sentiment analysis: Tasks, methods, and challenges
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement
Aspect-based sentiment analysis (ABSA) is a natural language processing technique that
seeks to recognize and extract the sentiment connected to various qualities or aspects of a …
seeks to recognize and extract the sentiment connected to various qualities or aspects of a …
Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis
Abstract Joint Multi-modal Aspect-based Sentiment Analysis (JMASA) is a challenging task
that seeks to identify all aspect-sentiment pairs from multimodal data. Current JMASA …
that seeks to identify all aspect-sentiment pairs from multimodal data. Current JMASA …
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis
Abstract Multi-modal Aspect-based Sentiment Analysis (MABSA) aims to forecast the polarity
of sentiment concerning aspects within a given sentence based on the correlation between …
of sentiment concerning aspects within a given sentence based on the correlation between …
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning
Abstract Multimodal Entity-Based Sentiment Analysis (MEBSA) is an emerging task within
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
sentiment analysis, with the objective of simultaneously detecting entity, sentiment, and …
Multi-level textual-visual alignment and fusion network for multimodal aspect-based sentiment analysis
Y Li, H Ding, Y Lin, X Feng, L Chang - Artificial Intelligence Review, 2024 - Springer
Abstract Multimodal Aspect-Based Sentiment Analysis (MABSA) is an essential task in
sentiment analysis that has garnered considerable attention in recent years. Typical …
sentiment analysis that has garnered considerable attention in recent years. Typical …
Joint multimodal sentiment analysis based on information relevance
D Chen, W Su, P Wu, B Hua - Information Processing & Management, 2023 - Elsevier
Social media users are increasingly turning to express opinions with both images and text,
while the visual content and text description may cover some conflicting information diverse …
while the visual content and text description may cover some conflicting information diverse …
Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis
J Yang, Y **ao, X Du - Knowledge-Based Systems, 2024 - Elsevier
Aspect-based multimodal sentiment analysis (ABMSA) is an important branch of multimodal
sentiment analysis. The goal of ABMSA is to use multimodal information to infer users' …
sentiment analysis. The goal of ABMSA is to use multimodal information to infer users' …
Learning from adjective-noun pairs: A knowledge-enhanced framework for target-oriented multimodal sentiment classification
Target-oriented multimodal sentiment classification (TMSC) is a new subtask of aspect-
based sentiment analysis, which aims to determine the sentiment polarity of the opinion …
based sentiment analysis, which aims to determine the sentiment polarity of the opinion …