Dr. Suraya Binti Alias
Dr. Suraya Binti Alias
Fakulti Komputeran Dan Informatik · Pusat Pengurusan Data dan Kecerdasan Buatan, UMS
suealias@ums.edu.my
Summary

Dr. Suraya Binti Alias is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Text and Web Mining, Natural Language Processing, Chatbot technology .

As a member of Pusat Pengurusan Data dan Kecerdasan Buatan, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Dr. Suraya Binti Alias holds DOKTOR FALSAFAH from Universiti Sains Malaysia , among other qualifications, and has established themselves as a respected expert in their field.

Education
Doktor Falsafah
Sarjana Sains Teknologi Maklumat
Sarjana Muda Teknologi Maklumat Dengan Kepujian
Stats
Publications:
37
Projects:
4
Grants:
RM 197,848.00
Scopus Metrics
Scopus Author ID:
25824702200
H-Index:
7
Documents:
28
Citations:
198
Research Interests
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Natural Language Processing (Including Machine Translation, Sentiment Analysis, Text to Speech (TtS), Speech to Text (StT))
Latest Grants
Full-stack Web Development: A Practical Guide For Students
An Improved Implicit Aspect Extraction Technique Using Latent Dirichlet Allocation (lda) And Class Sequential-rules Mining For Sentiment Summarization
Latest Publications
A Hybrid Contextual Embedding Based Clustering And Classification Technique For Unsupervised Implicit Aspect Categorization In Indonesian Reviews
Multi-aspect Extraction In Indonesian Reviews Through Multi-label Classification Using Pre-trained Bert Models
Trends And Challenges In Sentiment Summarization: A Systematic Review Of Aspect Extraction Techniques
A Contextual Embedding Clustering Technique For Aspect Categorization In Review Data
The Application Of Computer-aided Under-resourced Language Translation For Malay Into Kadazandusun
Previous Appointments
Administrative Positions