An Opinion Summarization Holistic Model using Extractive and Abstractive Summarization Techniques
Number of ROs needed:
Source of Funding
Ministry of Higher Education, Malaysia
Two years (March 2014 - February 2016)
RM2,000 - RM2,300
Faculty of Computing and Informatics, Multimedia University, Cyberjaya
- Bachelor of Computer Science/ IT (Second Class and Above)
- Applicants should be well-versed in programming
Benefits of the Project (not limited to):
Pursuing master of Science (Information Technology), Tuition fees waived (separate application required)
Opinion mining, natural language, text summarization.
Interested and qualified candidates are required to submit their transcript and resume via email to:
Soon Lay Ki (email@example.com)
Only shortlisted candidates will be called for interview. Existing final year students in MMU are encouraged to apply.