Results 51 to 60 of about 379,431 (345)
Attention-based Sentiment Reasoner for aspect-based sentiment analysis [PDF]
Human-centric Computing and Information Sciences, 2019 AbstractAspect-based sentiment analysis (ABSA) is a powerful way of predicting the sentiment polarity of text in natural language processing. However, understanding human emotions and reasoning from text like a human continues to be a challenge. In this paper, we propose a model, named Attention-based Sentiment Reasoner (AS-Reasoner), to alleviate the ...
Ning Liu +4 more
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Applied Sciences, 2023 Aspect-based sentiment analysis (ABSA) is a task in natural language processing (NLP) that involves predicting the sentiment polarity towards a specific aspect in text.
Xiaodong Cui, Wenbiao Tao, Xiaohui Cui
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Aspect-Based Sentiment Analysis Using Aspect Map
Applied Sciences, 2019 Aspect-based sentiment analysis (ABSA) is the task of classifying the sentiment of a specific aspect in a text. Because a single text usually has multiple aspects which are expressed independently, ABSA is a crucial task for in-depth opinion mining.
Yunseok Noh +2 more
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Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review
Applied Artificial Intelligence, 2022 The emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews.
Komang Wahyu Trisna, Huang Jin Jie
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Aspect-Based Sentiment Analysis Approach with CNN
Proceeding of the Electrical Engineering Computer Science and Informatics, 2018 Lots of research has been done on the domain of Sentiment Analysis, for example, research that conducted by Bing Liu's (2012) [1]. Other research conducted in a SemEval competition, the domain of sentiment analysis research has been developed further up to the aspect or commonly called Aspect Based Sentiment Analysis (ABSA) [2].
Budi M Mulyo, Dwi H. Widyantoro
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IEEE Access, 2021 Aspect-based sentiment analysis (ABSA) aims to identify views and sentiment polarities towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can provide more detailed and complete information.
Narisa Zhao, Huan Gao, Xin Wen, Hui Li
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Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 As an important task in sentiment analysis, Multimodal Aspect-Based Sentiment Analysis (MABSA) has attracted increasing attention inrecent years. However, previous approaches either (i) use separately pre-trained visual and textual models, which ignore ...
Yan Ling, Jianfei Yu, Rui Xia
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A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making.
Jaafar Zubairu Maitama +4 more
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A Systematic Mapping Study of the Empirical Explicit Aspect Extractions in Sentiment Analysis
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) is described as one of the most vibrant research areas over the last decade. However, due to the exponential increase in aspect-based sentiment researches, there is a massive interest in advanced explicit aspect ...
Jaafar Zubairu Maitama +2 more
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Opinion Tree Parsing for Aspect-based Sentiment Analysis
Findings of the Association for Computational Linguistics: ACL 2023, 2023 Extracting sentiment elements using pre-trained generative models has recently led to large improvements in aspect-based sentiment analysis benchmarks. However, these models always need large-scale computing resources, and they also ignore explicit modeling of structure between sentiment elements. To address these challenges, we propose an opinion tree
Bao, Xiaoyi +4 more
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