A sentiment analysis of AlDub-related tweets using a model-based approach / (Record no. 24211)

MARC details
000 -LEADER
fixed length control field 01097nam a2200205Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250725162621.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250725s9999 xx 000 0 und d
040 ## - CATALOGING SOURCE
Transcribing agency lcc
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UGT CCIT BSCS-DF .A38 2016
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aducal, Jenny M.
Relator term author
245 #2 - TITLE STATEMENT
Title A sentiment analysis of AlDub-related tweets using a model-based approach /
Statement of responsibility, etc. Jenny M. Aducal [and three others]
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Manila :
Name of publisher, distributor, etc. National University,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent v, 17 leaves ;
Dimensions 28 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Review of related literature -- 3. Theoretical background -- 4. Proposed solution to the problem -- 5. Analysis -- 6. Evaluation and discussion --7. Conclusions and recommendation -- 8. References -- 9. Appendix: personal information.
520 ## - SUMMARY, ETC.
Summary, etc. The goal of this research is to classify short twitter messages with regards to their sentiment using data mining techniques.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hintay, Mari Tomasito N.;Jacob, Mart Christopher B.;Sardea, Kenzo Rowie G.
Relator term co-author;co-author;co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Digital Forensic LRC - Main National University - Manila Thesis 07/25/2025 Donation   UGT CCIT BSCS-DF .A38 2016 UGTHE000001450 07/25/2025 c.1 07/25/2025 Thesis