Dr. James Mountstephens

Dr. James Mountstephens

Fakulti Komputeran Dan Informatik, UMS

Dr. James Mountstephens is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah.

As a member of Fakulti Komputeran Dan Informatik, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Dr. James Mountstephens holds Ph.D in Computer Science from Surrey University, Surrey, UK , among other qualifications, and has established themselves as a respected expert in their field.

Contact Information

Academic Department

Fakulti Komputeran Dan Informatik, UMS

Appointed Department

Fakulti Komputeran Dan Informatik, UMS

Education

Ph.d In Computer Science

Surrey University, Surrey, UK

2007

B.sc Computer Modelling And Simulation

Surrey University, Surrey, UK

2003

Research Collaborators

Research

Projects

1

Active

1

Grants

RM 10,000.00


Research Interests & Expertise

Information And Communication Technology (ict) - Other Artificial Intelligence and Machine Learning N.E.C

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed


Scopus Metrics

Scopus Profile

Documents

49

H-Index

14

Citations

1,241

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

A custom ai chatbot to engage potential tourists to sabah

Leader

2025 - 2026

Publications listing

NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED

Showing 1 to 4 of 4 entries

1.

James Mountstephens (2025) , Educational Video To Text Summarization And Mind Map Generation

2.

Balvinder Kaur Kler , James Mountstephens (2024) , Food For Thought In Malaysian Borneo: Data Mining And Sentiment Analysis Of Tripadvisor Reviews For Online Destination Branding

3.

Lai Po Hung , James Mountstephens (2023) , Bilingual Sentiment Analysis On Malaysian Social Media Using Vader And Normalisation Heuristics

4.

Lai Po Hung , James Mountstephens (2023) , Bilingual Sentiment Analysis On Malaysian Social Media Using Vader And Normalisation Heuristics