Results 31 to 40 of about 583,468 (318)
A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction [PDF]
Neurocomputing, 2021 Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC). Most of the existing work focuses on the subtask of aspect term polarity inferring and ignores the significance of aspect term extraction.
Yang, Heng +4 more
openaire +2 more sources
Design and Implementation of Aspect-Based Sentiment Analysis Task
Computer Sciences & Mathematics Forum, 2023 This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments.
Ningyi Zhang
doaj +1 more source
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2022 Social media is a common thing that people use. Posts or comments found on social media describe someone’s feelings and opinions so there have to be important topics that can be extracted from social media.
Satyawan Agung Nugroho +2 more
doaj +1 more source
Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations
Ain Shams Engineering Journal, 2022 The way of expressing sentiment (−ve/+ve) in the form of textual information depends on the way of thinking of human beings. Identifying aspect extraction and sentiment polarity from written texts is a crucial task.
Anima Pradhan +2 more
doaj +1 more source
Cross-Domain Aspect Term Extraction Fusing Global and Local Semantics [PDF]
Jisuanji gongchengAspect Term Extraction (ATE) is a critical task in aspect-level sentiment analysis, and extraction and annotation costs are extremely high. When training and testing samples come from different domains, the performance of traditional methods often ...
LIU Dage, YOU Jinguo, GENG Qiqi
doaj +1 more source
Mining aspects of customer’s review on the social network
Journal of Big Data, 2019 This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect weights.
Tu Nguyen Thi Ngoc +2 more
doaj +1 more source
Aspect Term Extraction for Aspect Based Opinion Mining
International Journal of Innovative Technology and Exploring Engineering, 2019 Opinion Mining (OM) is also called as Sentiment Analysis (SA). Aspect Based Opinion Mining (ABOM) is also called as Aspect Based Sentiment Analysis (ABSA). In this paper, three new features are proposed to extract the aspect term for Aspect Based Sentiment Analysis (ABSA).
Mr. M. Yesu Babu +2 more
openaire +1 more source
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 يهدف استخراج مصطلح الجانب (ATE) إلى تحديد جميع مصطلحات الجانب في الجملة وعادة ما يتم نمذجته كمشكلة وضع العلامات على التسلسل. ومع ذلك، لا يمكن للطرق القائمة على وضع العلامات على التسلسل الاستفادة الكاملة من المعنى العام للجملة بأكملها ولديها قيود في معالجة التبعيات بين التسميات.
Dehong Ma +4 more
openaire +1 more source
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
doaj +1 more source
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source