ABSTRACTFinal Year Project (FYP) is a course taken by all undergraduate students. Thus, each student is required to propose a project based on their major course. Final Year Project Text Analysis System (FYP-TAS) is proposed as a system to analyse students’ proposals as a method to avoid high similarities among students’ projects. Currently, a panel of FYP supervisors (FYP panel) has to analyse all project proposals manually. The process is time consuming when it involves large number of students. Thus, this system is designed to help the panel to analyse all the project proposal by implementing textual analysis to find if there is any similarities in project proposed by the students in order to prevent any similar final year projects .Each proposal submission will be analysed to extract the keywords using Term Frequency-Inverse Document Frequency (TF-IDF) method. Similarities among submitted proposals will be evaluated and results from the evaluation will help the FYP panel to suggest improvements for similar projects. Implementation of this system not only will reduce the time taken for the panel in the process to approve FYP projects proposed by the students but also contribute to a more efficient process in FYP approval.
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INTRODUCTION
Final year project (FYP) is a compulsory course taken by all undergraduate students in order to obtain their diplomas and degrees. The purpose of FYP is to groom students with the ability to think objectively, analytically and critically in identifying and solving problems. Thus, each student is required to propose a project based on their major course. The project proposal will be analysed by the FYP panel before they can proceed to the next step of the project.
The current manual process of proposal analysis is time consuming especially when it involves large number of students. Therefore, this system is proposed to help the panel to analyse students’ proposals and find the similarities between the proposals submitted by the students. In this system, the keywords from the titles and abstracts will be extracted. Each submitted proposal will be compared based on their similarity using Term Frequency-Inverse Document (TF-IDF) method. Proposals with a similarity level of less than 50% will be automatically approved by the system whereas those with similarity of 50% or more will be selected for further manual review by the panel. After the review, the corresponding supervisors will provide the feedback for improvements to the students via the system.
OBJECTIVE
The objectives of this system are:
1. To design a system capable to extract keywords and perform similarity measures among documents.
2. To implement proposed system using Natural Language Processing (NLP) and Term Frequency-Inverse Document Frequency (TF-IDF)
3. To test the proposed system.
result
CONCLUSION
FYP-TAS is the system that is useful for both students and FYP Panel. Students only have to upload their proposal into the system as this system provides a systematic approach for the analysis of the proposals. It is anticipated that the use of this system will help the panel to analyse the proposals efficiently and reduce the time taken for the panel in the process to approve FYP projects proposed by the students.