BERT-based model for aspect-based sentiment analysis for analyzing arabic open-ended survey responses: a case study
Educational institutions typically gather feedback from beneficiaries through formal surveys.
Offering open-ended questions allows students to express their opinions about matters that …
Offering open-ended questions allows students to express their opinions about matters that …
Innovative Forward fusion feature selection algorithm for sentiment analysis using supervised classification
Sentiment analysis is considered one of the significant trends of the recent few years. Due to
the high importance and increasing use of social media and electronic services, the need for …
the high importance and increasing use of social media and electronic services, the need for …
Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and …
Aspect-based sentiment analysis (ABSA) deals with understanding sentiments about
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …
A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
D Alqusair, M Taileb, H Al-Barhamtoshy - IEEE Access, 2025 - ieeexplore.ieee.org
As a valuable tool for comprehending the emotions and perspectives of individuals, the
significance of sentiment analysis has risen as a result of the growing of user-generated …
significance of sentiment analysis has risen as a result of the growing of user-generated …
[HTML][HTML] Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare
S AlNasser, S AlMuhaideb - Big Data and Cognitive Computing, 2024 - mdpi.com
Patient satisfaction is a key measure of the quality of healthcare, directly impacting the
success and competitiveness of healthcare providers in an increasingly demanding market …
success and competitiveness of healthcare providers in an increasingly demanding market …
User opinion prediction for Arabic hotel reviews using Lexicons and artificial intelligence techniques
RF Al-Mutawa, AY Al-Aama - Applied Sciences, 2023 - mdpi.com
Opinion mining refers to the process that helps to identify and to classify users' emotions and
opinions from any source, such as an online review. Thus, opinion mining provides …
opinions from any source, such as an online review. Thus, opinion mining provides …
O-Bert: Two-Stage Target-Based Sentiment Analysis
Target-based sentiment analysis (TBSA) is one of the most important NLP research topics
for widespread applications. However, the task is challenging, especially when the targets …
for widespread applications. However, the task is challenging, especially when the targets …
Annotation and evaluation of a dialectal Arabic sentiment corpus against benchmark datasets using transformers
Sentiment analysis is a task in natural language processing aiming to identify the overall
polarity of reviews for subsequent analysis. This study used the Arabic speech-act and …
polarity of reviews for subsequent analysis. This study used the Arabic speech-act and …
Arabic Short Text Analytics using Multivariate Filter Methods and ProdLDA Model
E Qais, MN Veena - 2024 Second International Conference on …, 2024 - ieeexplore.ieee.org
Research in the domain of Arabic short text analytics remains constrained. Although there
have been several research conducted on other languages, there is still a lack of …
have been several research conducted on other languages, there is still a lack of …
Optimized BERT: an effective attention layer based deep learning technique utilizing for multiword term extraction
Multiword term extraction refers to identifying and extracting meaningful phrases or
expressions of multiple words from a given text or a corpus. These multiword terms often …
expressions of multiple words from a given text or a corpus. These multiword terms often …