| 000 -LEADER |
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| fixed length control field |
02832nam a2200289Ia 4500 |
| 001 - CONTROL NUMBER |
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| control field |
90137 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft7791 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251020151932.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240427n 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T58.64 E88 2024 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Aubrey Estacio, Vincent B. Gayotayan, Princess Rei D. Sebastian. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Web-based student concerns management system using natural language processing with data analytics |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila: |
| Name of producer, publisher, distributor, manufacturer |
PLM, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. |
| 336 ## - CONTENT TYPE |
|---|
| Content type code |
text |
| Content type term |
text |
| Source |
text |
| 337 ## - MEDIA TYPE |
|---|
| Media type code |
unmediated |
| Media type term |
unmediated |
| Source |
unmediated |
| 338 ## - CARRIER TYPE |
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| Carrier type code |
volume |
| Carrier type term |
volume |
| Source |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: The capstone project, entitled “Web-based Student Concerns Management System using Natural Language Processing with Data Analytics” addresses the limitations of traditional student concerns handling methods by leveraging emerging technologies. The study explores the integration of Natural Language Processing (NLP) and Data Analytics to streamline and enhance the efficiency of managing student concerns. The system aims to provide enhanced analytics, and improved workflow to address challenges such as inadequate concern management, inefficient query processing, and limited insights in the current system. The objectives encompass creating a user-friendly web-based system, enhancing complaint management, and integrating data analytics for visual reports. The study’s significance lies in benefiting students, future researchers, and developes by offering efficient support, contributing to technology integration, and fostering career growth. The scope focuses on the College of Engineering at Pamantasan ng Lungsod ng Maynila, with limitations on the use of accessible NLP models and data analytics techniques. The research methodology follows the Agile Development Methodology, and data collection involves survey questionnaires to evaluate user satisfaction. The study utilizes purposive sampling and employs descriptive statistics for data analysis. The system evaluation adheres to employment of confusion matrix for accuracy testing and ISO 25010 standards, emphasizing functional suitability, performance efficiency, usability, reliability, and security. Results indicate high user satisfaction, with recommendations including features for urgency designation, image uploading, increased security, and continuous performance monitoring. The study concludes that the primary objective of enhancing complaint handling has been achieved, showcasing the potential for further improvements and innovations in the future. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
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| Terms governing access |
5 |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
|---|
| Terms governing use and reproduction |
5 |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Institution code [OBSOLETE] |
lcc |
| Item type |
Thesis/Dissertation |
| Koha issues (borrowed), all copies |
1 |
| Source of classification or shelving scheme |
|