MARC details
| 000 -LEADER |
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| fixed length control field |
03124nam a22003257a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250709105147.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250709b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
BTH QA 76.9 |
| Item number |
B53 2025 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Biag, Christian Kelly A. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
Development of alguard website fake news detector using nlp, lime and cnn-rnn algorithms/ |
| Statement of responsibility, etc. |
Christian Kelly A. Biag, Mark Jason R. Tabiliran, Lance Nathan B. Tubeo, Merham John H. Ungad, and Benjie D. Vega.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xii, 127pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
College of Industrial Technology.-- |
| Degree type |
Bachelor of engineering technology major in computer engineering technology: |
| Name of granting institution |
Technological University of the Philippines, |
| Year degree granted |
2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
The study ALGUARD: A Website Fake News Detector using NLP, LIME, CNN-RNN, is made to<br/>determine the facts of local online outlets' fake news sources in the Philippines. The goal of this<br/>study is to classify and disseminate counterfeit news that is shared on the nation's internet media<br/>platforms. and give relevant and accurate analysis on the news. The URL is copied to the scanner<br/>sensor QR codes that analyzes the percentage of accuracy of the given news based on the<br/>keywords compared with the original and fake news. The sixty percent result must be achieved in<br/>the comparison of URLs to the local news sources to identify whether the URL article is authentic<br/>or not. The algorithms used are Natural Language Processing (NLP), Local Interpretable<br/>Model-agnostic Explanations (LIME), and a Convolutional Neural Network-Recurrent Neural<br/>Network (CNN-RNN). The study makes use of an agile development methodology and<br/>incorporates iterative testing and enhancements. The system performance was tested F1 scoring,<br/>and user feedback from social media users and journalists. There were 30 respondents who were<br/>composed of different internet users . The ISO/IEC 25002:2024 instrument of evaluation was<br/>used to assess the performance of the ALGUARD system and obtained an overall mean 4.37<br/>which is described as “Very Satisfactory”. This defines the developed system’s capability to<br/>detect fake news. This study supports UN-SDG 16 by promoting access to reliable information<br/>and protecting media integrity and freedom. UN-SDG 12 helps promote the responsible<br/>consumption of fake news on online platforms, reducing fake news articles from spreading<br/>online. UN-SDG 11 helps create a safe and reliable internet community through safe and<br/>authentic news coverage in the Philippines. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Alguard |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Natural language processing (nlp) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Local interpretable |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Tabiliran, Mark Jason R. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tubeo, Lance Nathan B. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ungad, Merham John H. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Vega, Benjie D. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis CIT |
| Suppress in OPAC |
No |