Results 271 to 280 of about 395,369 (291)

Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network

IEEE Transactions on Computational Social Systems, 2023
Aspect-based sentiment analysis aims to predict sentiment polarities of given aspects in text. Most current approaches employ attention-based neural methods to capture semantic relationships between aspects and words in one sentence.
Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng   +3 more
semanticscholar   +1 more source

Large language models for aspect-based sentiment analysis

arXiv.org, 2023
Large language models (LLMs) offer unprecedented text completion capabilities. As general models, they can fulfill a wide range of roles, including those of more specialized models.
Paul F. Simmering, Paavo Huoviala
semanticscholar   +1 more source

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Conference on Empirical Methods in Natural Language Processing
Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment analysis, which aims to extract the aspects and predict their sentiments.
Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He   +6 more
semanticscholar   +1 more source

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis

IEEE Transactions on Affective Computing
Multimodal aspect-based sentiment analysis (MABSA) aims to determine the sentiment polarity of each aspect mentioned in the text based on multimodal content. Various approaches have been proposed to model multimodal sentiment features for each aspect via
Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu   +6 more
semanticscholar   +1 more source

Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?

Conference on Empirical Methods in Natural Language Processing
Aspect-based sentiment analysis (ABSA) aims to predict aspect-based elements from the given text, mainly including four elements, i.e., aspect category , sentiment polarity , aspect term , and opinion term .
Yinhao Bai, Zhixin Han, Yuhua Zhao, Hang Gao, Zhuowei Zhang, Xunzhi Wang, Mengting Hu   +6 more
semanticscholar   +1 more source

Enhanced Implicit Sentiment Understanding With Prototype Learning and Demonstration for Aspect-Based Sentiment Analysis

IEEE Transactions on Computational Social Systems
In the field of social computing, the task of aspect-based sentiment analysis (ABSA) aims to classify the sentiment polarity of a given aspect in a sentence.
Huizhe Su, Xinzhi Wang, Jinpeng Li, Shaorong Xie, Xiangfeng Luo   +4 more
semanticscholar   +1 more source

A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning

International Conference on Language Resources and Evaluation
Aspect-Based Sentiment Analysis ( ABSA) aims to identify terms or multiword expressions (MWEs) on which sentiments are expressed and the sentiment polarities associated with them. The development of supervised models has been at the forefront of research
Gaurav Negi, Rajdeep Sarkar, Omnia Zayed, P. Buitelaar   +3 more
semanticscholar   +1 more source

Exploring Scope Detection for Aspect-Based Sentiment Analysis

IEEE/ACM Transactions on Audio Speech and Language Processing
Aspect-based sentiment analysis (ABSA) aims to extract the aspect terms from review text, and to predict the polarity towards the aspect term. Although neural models have achieved competitive results, there are still many challenges in this task. Firstly,
Xiaotong Jiang, Peiwen You, Chen Chen, Zhongqing Wang, Guodong Zhou   +4 more
semanticscholar   +1 more source

Dual-Perspective Fusion Network for Aspect-Based Multimodal Sentiment Analysis

IEEE transactions on multimedia
Aspect-based multimodal sentiment analysis (ABMSA) is an important sentiment analysis task that analyses aspect-specific sentiment in data with different modalities (usually multimodal data with text and images). Previous works usually ignore the overall
Di Wang, Changning Tian, Xiao Liang, Lin Zhao, Lihuo He, Quan Wang   +5 more
semanticscholar   +1 more source

Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis

Knowledge-Based Systems
Xinjie Sun, Kai Zhang, Qi Liu, Meikai Bao, Yanjiang Chen   +4 more
semanticscholar   +1 more source