Research of sentiment tendency analysis of film reviews based based on deep learning / (Record no. 1885)

MARC details
000 -LEADER
fixed length control field 01216nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250211150827.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250211b ph ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number GSD CCIT PhDCS .A59 2024
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aixiang, He
Relator term author
245 ## - TITLE STATEMENT
Title Research of sentiment tendency analysis of film reviews based based on deep learning /
Statement of responsibility, etc. He Aixiang
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Manila :
Name of publisher, distributor, etc. National University,
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 143 leaves ;
Dimensions 28 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction -- Chapter 2. Theoretical Framework -- Chapter 3. Methodology -- Chapter 4. Results and Discussion -- Chapter 5. Summary, Conclusion and Recommendation -- References.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. With the development of the Internet+ pan-entertainment service platform, the cinema sector has established a system where consumers can buy tickets on the internet, watch movies in theaters and then share their reviews and feedback online, resulting in a large amount of film and review data, whose evaluation content fully reflects the attitude and views of moviegoers.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DEEP LEARNING
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NATURAL LANGUAGE PROCESSING
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Dissertation
Suppress in OPAC No
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date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 Koha item type
    Library of Congress Classification     Doctor of Philosophy - Computer Science LRC - Graduate Studies National University - Manila Dissertation 01/10/2025 Donation   GSD CCIT PhDCS .H4 2024 GSDIS000000580 02/11/2025 c.1 Dissertation