Results 31 to 40 of about 110,262 (250)

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, Dr.P.Vijaya Pal Reddy, Dr. C. Shoba Bindu   +2 more
openaire   +1 more source

Combination of Convolutional Neural Network and Gated Recurrent Unit for Aspect-Based Sentiment Analysis

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

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, Daniel Korat, Moshe Wasserblat   +2 more
openaire   +1 more source

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
doaj   +2 more sources

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

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

ATE_ABSITA @ EVALITA2020: Overview of the Aspect Term Extraction and Aspect-based Sentiment Analysis Task [PDF]

, 2020
Over the last years, the rise of novel sentiment analysis techniques to assess aspect-based opinions on product reviews has become a key component for providing valuable insights to both consumers and businesses. To this extent, we propose ATE_ABSITA: the EVALITA 2020 shared task on Aspect Term Extraction and Aspect-Based Sentiment Analysis.
De Mattei, Lorenzo, De Martino, Graziella, Iovine, Andrea, Miaschi, Alessio, Polignano, Marco, Rambelli, Giulia   +5 more
openaire   +5 more sources

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +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

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source