Sentiment analysis of domestic movie reviews based on a discrete regression model

Author:

Liu Jingting1

Affiliation:

1. School of Film Art China Academy of Art , Hangzhou, Zhejiang, , China

Abstract

Abstract In the context of the rapid development of big data information digitization, how to use big data technology to analyze the sentiment of domestic movie reviews is a hot topic of current concern. In this paper, we use two similarly themed Chinese movie reviews as the basis and use discrete regression models to study the emotional tendency of movie reviews. Firstly, the ROC curves of the regression model are plotted based on the convolutional neural network to construct the text classification task metrics and the logistic discrete regression algorithm. The prediction probability at the bottom of the curve is 56.3%, and the 95% confidence interval is [56%, 56.6%], indicating the model’s high accuracy. Then, the factors affecting effective tendency were analyzed by the logistic discrete regression model, and both user level (UL) and per capita disposable income (PCDI) had significant effects on affective tendency (ET) (both p-values were less than 0.001), and the coefficients of both influencing factors were less than 0. This indicates that user level (UL) and per capita disposable income (PCDI) have significant negative effects on affective tendency (ET) have a significant negative effect on affective tendency (ET), i.e., the higher the user level, the more likely it is to have a bad review, i.e., the higher the per capita disposable income, the more likely it is to have a bad review. This study provides a comprehensive and objective evaluation of domestic movie reviews and provides a guiding reference basis for the development direction and progress of Chinese movies.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference17 articles.

1. Yang, E. H. (2012). The Continuation of “the Hawthorn” Phenomenon - A Film Review of Film Silk Tree. Legend Biography Literary Journal Selection.

2. Yang, X., & Zhang, J. (2016). Review of Chinese Domestic Animation Film in 2015. Ethnic Art Studies.

3. Yun-Feng, L. I. (2013). Thinking on Value of Chinese Contemporary Film Criticism. Journal of Hunan Mass Media Vocational Technical College.

4. Zhao, P. (2017). Film criticism beyond feminism: Loss of value of Agnès Varda’s Le Bonheur. Journal of Central South University (Social Science).

5. Selfe, M. (2012). Circles, Columns and Screenings: Mapping the Institutional, Discursive, Physical and Gendered Spaces of Film Criticism in 1940s London. Journal of British Cinema and Television, 9(4), 588-611.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3