MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02261ntm a2200301 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240224113959.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240224s2023 |||a|||| abm| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
TUPM |
| Language of cataloging |
eng |
| Transcribing agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
BTH QA 76 |
| Item number |
C36 2023 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cañas, Neil Michael D. |
| 245 1# - TITLE STATEMENT |
|---|
| Title |
SIDetect : |
| Remainder of title |
A Web-Base Application for Detecting Suicidal Ideations (SI) Using Natural Language Processing and Machine Learning / |
| Statement of responsibility, etc. |
Neil Michael D. Cañas, Carlo M. Salva, Saeymond Charles N. Serrano, Jihad M. Yusoph. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila : |
| Name of producer, publisher, distributor, manufacturer |
Technological University of the Philippines, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 124 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
29 cm. + |
| Accompanying material |
1 CD-ROM (4 3/4 in.) |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Thesis (Undergraduate)<br/> |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Science -- |
| Degree type |
Bachelor of Science in Computer Science,<br/> |
| Name of granting institution |
Technological University of the Philippines,<br/> |
| Year degree granted |
2023. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references. |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
This thesis introduces SIDetect, a web-based application that uses machine learning (ML) and natural language processing (NLP) methods to identify suicidal ideations (SI). The system uses natural language processing (NLP) to extract pertinent information from user-generated text, which is then examined using machine learning (ML) algorithms to find patterns that suggest the presence of suicidal ideations. A dataset of user-generated text with SI and non-SI instances was used to assess the system. It was developed using Visual Studio Code, Open API, and Python as the programming language. The user interface of the system was also assessed and found to be intuitive and user-friendly. The system was evaluated using ISO 25010 criteria for quality assurance, with a total of 23 respondents consisting of IT/CS, Psychology students, and professionals from the IT and Psychology field. According to the evaluation's findings, SIDetect achieved an overall score of 3.55, indicating a Highly Acceptable rating.--Author's Abstract |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Suicidal behavior |
| General subdivision |
Computer programs. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Salva, Carlo M. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Serrano, Saeymond Charles N. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yusoph, Jihad M. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COS |
| Suppress in OPAC |
No |