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Study on pore features in sintered die-attach microstructures based on machine learning. [PDF]

Sci Rep
Gao R, Tatsumi H, Kobatake T, Ueshima M, Nishikawa H.   +4 more
europepmc   +1 more source

Precise segmentation method for slender power targets based on multi-scale perception and location-sensitive learning. [PDF]

Sci Rep
Zhang D, Xie P, Chen H, Liu J, Zhang H, Wang J.   +5 more
europepmc   +1 more source

Aspect term extraction from multi-source domain using enhanced latent Dirichlet allocation

Radhika Jinendra Dhanal, Vijay R. Ghorpade   +1 more
openalex   +2 more sources

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Post-processing method with aspect term error correction for enhancing aspect term extraction

Applied Intelligence, 2022
Ruyan Wang, 容剑 赵, Zhigang Yang
exaly   +2 more sources

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.
Heng Yang, Zeng Biqing, Ruyang xu
exaly   +3 more sources

BeeAE: effective aspect term extraction with artificial bee colony

Journal of Supercomputing, 2022
AbstractAspect terms are opinion targets for people to express and understand opinions in reviews. Aspect terms extraction is an essential subtask in aspect-level sentiment analysis. To extract aspect terms from a sentence, existing methods mainly focus on context features generated by pre-trained models.
Jingli Shi, Weihua Li, Quan Bai
exaly   +3 more sources

Multi-task learning for aspect term extraction and aspect sentiment classification

Neurocomputing, 2020
Abstract Aspect sentiment classification has a dependency over the aspect term extraction. The majority of the existing studies tackle these two problems independently, i.e., while performing aspect sentiment classification, it is assumed that the aspect terms are pre-identified. However, such assumptions are neither practical nor appropriate.
Md. Shad Akhtar, Tarun Garg, Asif Ekbal
exaly   +2 more sources

A span-based model for aspect terms extraction and aspect sentiment classification

Neural Computing and Applications, 2020
Sentiment analysis is a field of natural language processing, which is used to identify and extract opinions and attitudes from text. Aspect-based sentiment analysis aims to extract aspect terms and predict sentiment categories of the opinion aspects. It includes two subtasks: aspect terms extraction and aspect sentiment classification.
Yanxia Lv, Fangna Wei, Ying Zheng, Cong Wang 0009, Cong Wan, Cuirong Wang   +5 more
openaire   +1 more source

A hybrid unsupervised method for aspect term and opinion target extraction

Knowledge-Based Systems, 2018
Abstract Aspect term extraction (ATE) and opinion target extraction (OTE) are two important tasks in fine-grained sentiment analysis field. Existing approaches to ATE and OTE are mainly based on rules or machine learning methods. Rule-based methods are usually unsupervised, but they can’t make use of high level features.
Chuhan Wu, Fangzhao Wu, Zhigang Yuan
exaly   +2 more sources