Buzzmatch : File Content-Based with Image and Text Filtering Categorization Application Through Keyword Matching Using Modified Artificial Bee Colony (ABC) Approach / Joesef Andrei Espinosa, Rasheed Riga, Jan Christian Torres, Jon Rexzel Valloyaz.

By:

Espinosa, Joesef Andrei

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2024Description: ix, 81 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

LOC classification:

BTH QA 76 E87 2024

Dissertation note: College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2024. Abstract: "This study focuses on providing assistance in efficiently categorizing and organizing PDF, MS Docx and TXT files based on image and text filtering. The researchers of this study found that there are professionals such as professors and students that have a hard time finding and retrieving electronic text-based documents. The main objective of this study is to develop a computer application that provides the user with categorizing electronic text-based documents by content. The system was developed using python and Tkinter framework, The system can automatically read and categorize the content of the documents. The evaluation criteria were based on ISO 25010 and the application is tested in terms of functional suitability, performance efficiency, usability, reliability, and maintainability. The level of acceptability of the system was graded with a mean rating of 3.53 which was interpreted as highly acceptable." -- Author's Abstract

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Holdings
Item type	Current library	Shelving location	Call number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 E87 2024 (Browse shelf(Opens below))	Not for loan	For Room Use Only		BTH0004907

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Previous	BTH QA 76 E76 2024 Smart directory map locator with navigation using a algorithm for the national museum in Manila/	BTH QA 76 E84 2024 Developing an optimized project management scheduling system with minimal to zero delay/	BTH QA 76 E87 2024 SYLLAGENIUS: an AI generic syllabus generator using NLP/	BTH QA 76 E87 2024 Buzzmatch : File Content-Based with Image and Text Filtering Categorization Application Through Keyword Matching Using Modified Artificial Bee Colony (ABC) Approach /	BTH QA 76 E93 2019 Development of an Android-Based Queuing System Using QR Code /	BTH QA 76 F35 2024 Off-grid self-sustaining vertical hydroponics water maintenance using supervised classification algorithm/	BTH QA 76 F56 2025 Employee scheduling system with sms notification for fast-food restaurants using genetic algorithm/	Next

Thesis (Undergraduate)

College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2024.

Includes bibliographical references.

"This study focuses on providing assistance in efficiently categorizing and organizing PDF, MS Docx and TXT files based on image and text filtering. The researchers of this study found that there are professionals such as professors and students that have a hard time finding and retrieving electronic text-based documents. The main objective of this study is to develop a computer application that provides the user with categorizing electronic text-based documents by content. The system was developed using python and Tkinter framework, The system can automatically read and categorize the content of the documents. The evaluation criteria were based on ISO 25010 and the application is tested in terms of functional suitability, performance efficiency, usability, reliability, and maintainability. The level of acceptability of the system was graded with a mean rating of 3.53 which was interpreted as highly acceptable." -- Author's Abstract

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