Research of sentiment tendency analysis of film reviews based based on deep learning / He Aixiang

By: Material type: TextTextPublication details: Manila : National University, 2024Description: xiv, 143 leaves ; 28 cmSubject(s): LOC classification:
  • GSD CCIT PhDCS .A59 2024
Contents:
Chapter 1. Introduction -- Chapter 2. Theoretical Framework -- Chapter 3. Methodology -- Chapter 4. Results and Discussion -- Chapter 5. Summary, Conclusion and Recommendation -- References.
Summary: 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.
Item type: Dissertation
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Dissertation Dissertation National University - Manila LRC - Graduate Studies Dissertation Doctor of Philosophy - Computer Science GSD CCIT PhDCS .H4 2024 (Browse shelf(Opens below)) c.1 Available GSDIS000000580

Includes bibliographical references.

Chapter 1. Introduction -- Chapter 2. Theoretical Framework -- Chapter 3. Methodology -- Chapter 4. Results and Discussion -- Chapter 5. Summary, Conclusion and Recommendation -- References.

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.

There are no comments on this title.

to post a comment.