Sultan Alharbi
Biographic Data
| ID | 8547036 |
|---|---|
| NAME | Sultan Alharbi |
| GIVEN NAMES | Sultan |
| FAMILY NAME | Alharbi |
| SIGNATURE | ALHARBI S |
| AFFILIATIONS | King Saud University |
| ORCID | 0000-0002-9511-0442 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An Appraisal Analysis of Engagement in Published Review Articles in Applied Linguistics and Medicine
This study investigates how professional academic writers construct Engagement in the introduction, literature review and conclusion sections of review articles (RAs) published in Web of Science (WoS)-indexed journals. The Engagement subsystem from the Appraisal framework is used in the current analysis. The study adopts a comparative, mixed-methods, corpus-based research design. Two academic disciplines are selected for comparison: applied lingu…
Genre Analysis of Review Article Abstracts in Biology Subdisciplines
This study implements a genre-based approach to analyze the rhetorical structure and move patterns of review article abstracts written by biochemistry, biophysics, and bioinformatics scholars. It aims to investigate the similarities and differences between biology subdisciplines in frequency, status, sequencing and step usage. The study examined 300 review abstracts selected from 30 esteemed journals. A modified model from Santos and Swales was e…
Generalizing sentiment analysis
Sentiment analysis is an increasingly vital technique within natural language processing for interpreting human emotions expressed in text. This survey explores the trajectory of sentiment analysis research, examining advancements from traditional machine learning approaches to state-of-the-art deep learning models, including Transformers and hybrid architectures. We highlight key challenges such as domain adaptation, linguistic diversity, and th…
Depression, stress, anxiety and burnout among undergraduate and postgraduate medical trainees in Saudi Arabia over two decades
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Depression, stress, anxiety and burnout among undergraduate and postgraduate medical trainees in Saudi Arabia over two decades
Generalizing sentiment analysis
Sentiment analysis is an increasingly vital technique within natural language processing for interpreting human emotions expressed in text. This survey explores the trajectory of sentiment analysis research, examining advancements from traditional machine learning approaches to state-of-the-art deep learning models, including Transformers and hybrid architectures. We highlight key challenges such as domain adaptation, linguistic diversity, and th…
An Appraisal Analysis of Engagement in Published Review Articles in Applied Linguistics and Medicine
This study investigates how professional academic writers construct Engagement in the introduction, literature review and conclusion sections of review articles (RAs) published in Web of Science (WoS)-indexed journals. The Engagement subsystem from the Appraisal framework is used in the current analysis. The study adopts a comparative, mixed-methods, corpus-based research design. Two academic disciplines are selected for comparison: applied lingu…
Genre Analysis of Review Article Abstracts in Biology Subdisciplines
This study implements a genre-based approach to analyze the rhetorical structure and move patterns of review article abstracts written by biochemistry, biophysics, and bioinformatics scholars. It aims to investigate the similarities and differences between biology subdisciplines in frequency, status, sequencing and step usage. The study examined 300 review abstracts selected from 30 esteemed journals. A modified model from Santos and Swales was e…
Academic Writing and Publishing (2 works) · Discourse Analysis in Language Studies (2 works) · Academic writing (1 work) · Advanced Text Analysis Techniques (1 work) · Applied linguistics (1 work) · Appraisal theory (1 work) · Artificial Intelligence (1 work) · Computational and Text Analysis Methods (1 work) · Computer Science (1 work) · Data science (1 work)