Samer Abdulateef Waheeb
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View article: Multi-Task Aspect-Based Sentiment: A Hybrid Sampling and Stance Detection Approach
Multi-Task Aspect-Based Sentiment: A Hybrid Sampling and Stance Detection Approach Open
This paper discusses the challenges associated with a class imbalance in medical data and the limitations of current approaches, such as machine multi-task learning (MMTL), in addressing these challenges. The proposed solution involves a n…
View article: Review of: "Sentiment Analysis of Opinions about Online Education in the Kurdistan Region of Iraq during COVID-19"
Review of: "Sentiment Analysis of Opinions about Online Education in the Kurdistan Region of Iraq during COVID-19" Open
Potential competing interests: No potential competing
View article: Discharge Summaries Based Sentiment Detection Using Multi-Head Attention and CNN-BiGRU
Discharge Summaries Based Sentiment Detection Using Multi-Head Attention and CNN-BiGRU Open
Automatic extraction of the patient’s health information from the unstructured data concerning the discharge summary remains challenging. Discharge summary related documents contain various aspects of the patient health condition to examin…
View article: Topic Modeling and Sentiment Analysis of Online Education in the COVID-19 Era Using Social Networks Based Datasets
Topic Modeling and Sentiment Analysis of Online Education in the COVID-19 Era Using Social Networks Based Datasets Open
Sentiment Analysis (SA) is a technique to study people’s attitudes related to textual data generated from sources like Twitter. This study suggested a powerful and effective technique that can tackle the large contents and can specifically…
View article: AN EFFICIENT SENTIMENT ANALYSIS BASED DEEP LEARNING CLASSIFICATION MODEL TO EVALUATE TREATMENT QUALITY
AN EFFICIENT SENTIMENT ANALYSIS BASED DEEP LEARNING CLASSIFICATION MODEL TO EVALUATE TREATMENT QUALITY Open
Extracting information using an automated system from unstructured medical documents related to patients discharge summaries in the health care centers is considered a big challenge. Sentiment analysis of medical records has gained signifi…
View article: A Novel Knowledge Distillation-Based Feature Selection for the Classification of ADHD
A Novel Knowledge Distillation-Based Feature Selection for the Classification of ADHD Open
Attention Deficit Hyperactivity Disorder (ADHD) is a brain disorder with characteristics such as lack of concentration, excessive fidgeting, outbursts of emotions, lack of patience, difficulty in organizing tasks, increased forgetfulness, …
View article: A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder
A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder Open
Autism disorder, generally known as Autism Spectrum Disorder (ASD) is a brain disorder characterized by lack of communication skills, social aloofness and repetitions in the actions in the patients, which is affecting millions of the peopl…
View article: A Survey on the applications of IoT: an investigation into existing environments, present challenges and future opportunities
A Survey on the applications of IoT: an investigation into existing environments, present challenges and future opportunities Open
In today’s digital environment, devices are able to interconnect and react to contextual data more than ever before: artificial intelligence is beginning to coordinate how data collected from sensors and de-vices within the network is anal…
View article: Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary
Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary Open
Patients’ discharge summaries (documents) are health sensors that are used for measuring the quality of treatment in medical centers. However, extracting information automatically from discharge summaries with unstructured natural language…