Understanding COVID-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis. [PDF]
Int J Environ Res Public Health, 2022 Feizollah A +4 more
europepmc +3 more sources
A Position Aware Decay Weighted Network for Aspect Based Sentiment Analysis [PDF]
Natural Language Processing and Information Systems25th International Conference on Applications of Natural Language to Information Systems, 2020 Madasu A, Rao V.
europepmc +2 more sources
Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis. [PDF]
J Med Internet Res, 2022 Jang H +5 more
europepmc +2 more sources
Towards Generative Aspect-Based Sentiment Analysis [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021 Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most existing work tackles ABSA in a discriminative manner, designing various task-specific classification networks for the prediction. Despite their effectiveness, these methods ignore the rich label semantics in ABSA problems and require extensive task-specific designs.
ZHANG, Wenxuan +4 more
openaire +3 more sources
Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
IEEE Access, 2021 Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis.
Ruba Obiedat +3 more
doaj +1 more source
Aspect-based Sentiment Analysis Based on Aspect Semantic and Gated Filtering Network [PDF]
Jisuanji kexue, 2023 Aspect-based sentiment analysis(ABSA)is a fine-grained sentiment analysis,which aims to predict sentiment polarity of text toward a specific aspect.Currently,given the excellent capabiities of recurrent neural networks(RNN) in sequence mode-ling and the ...
HE Zhihao, CHEN Hongmei, LUO Chuan
doaj +1 more source
Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis [PDF]
Findings of the Association for Computational Linguistics: ACL 2023, 2023 We examine the behaviour of an aspect-based sentiment classifier built by fine-tuning the BERTBASE model on the SemEval 2016 English dataset. In a set of masking experiments, we examine the extent to which the tokens identified as salient by LIME and a gradient-based method are being used by the classifier. We find that both methods are able to produce
Wagner, Joachim, Foster, Jennifer
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A Unified Generative Framework for Aspect-based Sentiment Analysis [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Accepted by ACL 2021 (long paper)
Xipeng Qiu +4 more
openaire +3 more sources
Aspect-based Sentimental Analysis for Travellers’ Reviews
SSRN Electronic Journal, 2023 Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topics discussed by travellers or provide sentimental value to tag the entire review without specifically ...
Alaydaa, Mohammed Saad M +2 more
openaire +2 more sources
A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
doaj +1 more source