Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Research on Cultural Film and Television Criticism and User Behavior Communication Model Based on Sentiment Analysis

Authors
Yiran Li1, *
1School of Humanities and Communication, Xinyang Agriculture and Forestry University, Xinyang, Henan, 464000, China
*Corresponding author. Email: Lyr20230522@163.com
Corresponding Author
Yiran Li
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_21How to use a DOI?
Keywords
sentiment analysis; film reviews; user behavior prediction
Abstract

To enhance the interpretative efficiency of cultural film and television reviews and the accuracy of user behavior prediction, sentiment analysis technology is applied to assess the polarity and intensity of film and television reviews. This approach aims to identify users’ emotional attitudes toward films and predict their interactive behaviors. By collecting 2,000 data entries from social media and film review platforms, a deep learning model based on Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks achieved an overall accuracy rate of 88% in sentiment classification. Additionally, experimental results indicate that reviews with high emotional intensity significantly increase the probability of dissemination behaviors such as likes and shares, highlighting the critical role of emotional information in driving user behavior.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_21How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yiran Li
PY  - 2025
DA  - 2025/02/28
TI  - Research on Cultural Film and Television Criticism and User Behavior Communication Model Based on Sentiment Analysis
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 209
EP  - 219
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_21
DO  - 10.2991/978-94-6463-656-7_21
ID  - Li2025
ER  -