Results 41 to 50 of about 101,957 (293)

Deep aspect extraction and classification for opinion mining in e‐commerce applications using convolutional neural network feature extraction followed by long short term memory attention model

Applied AI Letters, 2023
Users of e‐commerce websites review different aspects of a product in the comment section. In this research, an approach is proposed for opinion aspect extraction and recognition in selling systems.
Kamal Sharbatian, Mohammad Hossein Moattar   +1 more
doaj   +1 more source

Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction

Frontiers in Neurorobotics, 2023
Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion term, and the sentiment polarity of the aspect term.
Yanbo Li, Qing He, Damin Zhang
doaj   +1 more source

Unsupervised Neural Aspect Search with Related Terms Extraction

, 2020
The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Sokhin, Timur, Khodorchenko, Maria, Butakov, Nikolay   +2 more
openaire   +2 more sources

Extracting Aspect Terms using CRF and Bi-LSTM Models

Procedia Computer Science, 2020
Abstract Sentiment Analysis deals with analysing the reviews stated by its consumers for any product. If such analysis is performed at a deeper level, it enables us to identify the consumer’s sentiment towards each feature of the product. The sentiment expressed may not be same towards each feature.
Hetal Gandhi, Vahida Attar
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, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang   +4 more
openaire   +1 more source

Enhancing Arabic Aspect-Based Sentiment Analysis Using End-to-End Model

IEEE Access, 2023
The majority of research on the Aspect-Based Sentiment Analysis (ABSA) tends to split this task into two subtasks: one for extracting aspects, Aspect Term Extraction (ATE), and another for identifying sentiments toward particular aspects, Aspect ...
Ghada M. Shafiq, Taher Hamza, Mohammed F. Alrahmawy, Reem El-Deeb   +3 more
doaj   +1 more source

Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning

IEEE Access, 2021
This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for sentence-level aspects. The main objective of the proposed approach allows discovering user social data considering the extracted in-depth inference about ...
Asmaa Hashem Sweidan, Nashwa El-Bendary, Haytham Al-Feel   +2 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Multi-Grained Attention Representation With ALBERT for Aspect-Level Sentiment Classification

IEEE Access, 2021
Aspect-level sentiment classification aims to solve the problem, which is to judge the sentiment tendency of each aspect in a sentence with multiple aspects.
Yuezhe Chen, Lingyun Kong, Yang Wang, Dezhi Kong   +3 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source