Results 31 to 40 of about 14,029 (259)
Employing relation extraction technology to jointly recognize aspect-polarity pairs in a text
四川大学学报. 自然科学版, 2022 Aspect-based sentiment analysis aims to identify the aspects mentioned in sentences and their sentiment polarity, which is an important task in fine-grained sentiment analysis.
BU Ling-Mei +3 more
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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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Zero-Shot Aspect-Based Sentiment Analysis
CoRR, 2022 Aspect-based sentiment analysis (ABSA) typically requires in-domain annotated data for supervised training/fine-tuning. It is a big challenge to scale ABSA to a large number of new domains. This paper aims to train a unified model that can perform zero-shot ABSA without using any annotated data for a new domain.
Lei Shu 0004 +3 more
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Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
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Creating an Annotated Corpus for Aspect-Based Sentiment Analysis in Swedish
Digital Humanities in the Nordic and Baltic Countries Publications, 2020 Aspect-Based Sentiment Analysis constitutes a more fine-grained alternative to traditional sentiment analysis at sentence level. In addition to a sentiment value denoting how positive or negative a particular opinion or sentiment expression is, it ...
Jacobo Rouces +2 more
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Aspect-Specific Context Modeling for Aspect-Based Sentiment Analysis
, 2022 Aspect-based sentiment analysis (ABSA) aims at predicting sentiment polarity (SC) or extracting opinion span (OE) expressed towards a given aspect. Previous work in ABSA mostly relies on rather complicated aspect-specific feature induction. Recently, pretrained language models (PLMs), e.g., BERT, have been used as context modeling layers to simplify ...
Fang Ma +3 more
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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.
Wenxuan Zhang 0001 +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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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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Aspect-based Sentiment Analysis of Scientific Reviews [PDF]
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020 Accepted in JCDL ...
Souvic Chakraborty +2 more
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