Results 11 to 20 of about 448,200 (183)

BERT-Based Joint Model for Aspect Term Extraction and Aspect Polarity Detection in Arabic Text

Electronics (Switzerland), 2023
Aspect-based sentiment analysis (ABSA) is a method used to identify the aspects discussed in a given text and determine the sentiment expressed towards each aspect.
Hasna Chouikhi, M. Alsuhaibani, Fethi Jarray   +2 more
semanticscholar   +3 more sources

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, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang   +4 more
openaire   +2 more sources

BeeAE: effective aspect term extraction with artificial bee colony

The 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, Takayuki Ito   +3 more
openaire   +3 more sources

Aspect Term Extraction using Graph-based Semi-Supervised Learning [PDF]

Procedia Computer Science, 2020
Aspect based Sentiment Analysis is a major subarea of sentiment analysis. Many supervised and unsupervised approaches have been proposed in the past for detecting and analyzing the sentiment of aspect terms. In this paper, a graph-based semi-supervised learning approach for aspect term extraction is proposed. In this approach, every identified token in
Ansari, Gunjan, Saxena, Chandni, Ahmad, Tanvir, Doja, M. N.   +3 more
openaire   +3 more sources

A Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
: Aspect-based Sentiment Analysis (ABSA) consists in extracting the terms or entities described in a text (attributes of a product or service) and the user perception of each aspect.
Hasna Chouikhi, Fethi Jarray, Mohammed Alsuhaibani   +2 more
openaire   +2 more sources

External-knowledge enhanced dual encoder and contrastive learning for aspect sentiment triplet extraction. [PDF]

PLoS ONE
Aspect Sentiment Triplet Extraction (ASTE) is an emerging subtask of Aspect-Based Sentiment Analysis (ABSA), aiming to extract aspect terms, opinion terms, and the corresponding sentiment polarity from sentences.
Yuan Huang, Xiaozheng Zhou, Ruizhi Yin, Pengwei Shi   +3 more
doaj   +2 more sources

An ensemble approach for aspect term extraction in Turkish texts

Pamukkale University Journal of Engineering Sciences, 2022
Öz Today, as a result of the inadequacies of the standard sentiment analysis, aspect-based sentiment analysis (ABSA) studies have great attracting interest. ABSA reveals detailed sentiment and opinion about every term/attribute in a text.
Mehmet Umut Salur, İlhan Aydın, Maen Jamous   +2 more
openaire   +2 more sources

Sentiment Analysis using Latent Dirichlet Allocation for Aspect Term Extraction

Journal of Computers, Mechanical and Management, 2022
This work proposes a sentiment analysis approach for decision-making in product design, analysis, and market share. The approach incorporates user-generated text data in the form of consumer reviews to extract product features using topic-based modeling methods.
Lovish Rajput, Shilpi Gupta
openaire   +2 more sources

Joint Modeling Based on Multi-task Learning for Aspect Term Extraction and Sen-timent Classification [PDF]

Jisuanji kexue yu tansuo, 2023
Fine-grained aspect-based sentiment analysis involves aspect term extraction and aspect sentiment classi-fication. Most existing research methods address them in an independent fashion, which lack a mechanism to account for the relevant information ...
MENG Tiantian, HAN Hu, WU Yuanhang
doaj   +1 more source

Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach

Journal of ICT, 2022
In aspect-based sentiment analysis, tasks are diverse and consist of aspect term extraction, aspect categorization, opinion term extraction, sentiment polarity classification, and relation extractions of aspect and opinion terms.
Rifo Ahmad Genadi , Masayu Leylia Khodra   +1 more
doaj   +1 more source