Results 31 to 40 of about 101,957 (293)
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
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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
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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
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Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 A fundamental task of fine-grained sentiment analysis is aspect and opinion terms extraction. Supervised-learning approaches have shown good results for this task; however, they fail to scale across domains where labeled data is lacking. Non pre-trained unsupervised domain adaptation methods that incorporate external linguistic knowledge have proven ...
Oren Pereg +2 more
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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
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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
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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 Term Extraction with History Attention and Selective Transformation [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to extract explicit aspect expressions from online user reviews. We present a new framework for tackling ATE. It can exploit two useful clues, namely opinion summary and aspect detection history.
Li, Xin +4 more
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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
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A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas [PDF]
PeerJ Computer Science, 2021 Due to the massive progression of the Web, people post their reviews for any product, movies and places they visit on social media. The reviews available on social media are helpful to customers as well as the product owners to evaluate their products ...
Bhavana R. Bhamare, Jeyanthi Prabhu
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