{"title":"Evaluation & Analysis of Movie Aspects: Based on Sentiment Analysis","authors":"Yuanfan Xu","doi":"10.56397/fms.2023.06.08","DOIUrl":null,"url":null,"abstract":"The objective of this project is to address the research question “What factor determines the success of an action movie?”, where the success factors are quantified as plot, music, plot, and director. Based on the research question, the author conducts a literature review of the development of the UK film industry, the impact of social media and film criticism on the film industry. To evaluate film reviews, sentiment analysis, which can efficiently convert text into structured data, is utilized in the project. In the methodology and the case study, the method of constructing the VADER model and the SVM model with the process including data processing, modelling, result correctness verification, and model evaluation are expounded and shown. Finally, the correctness of the two models is verified and the model output is visualized for analysis. The conclusion of the project is as follows: (1) Responding to the inquiry: In action films, the plot is the aspect that the audience pays the most attention to, but first the actors and music, and finally the director. (2) When compared to the experimental findings of Wang et al. (2020a), the project came to different conclusions, presumably as a result of the project’s limited access to movies and the change in the data processing approach. (3) Given that the two models employed in this research did well in the evaluation, they can be effectively applied to help production firms raise the caliber of action movies. (4) The models in the research can be easily developed and used to other domains because film review analysis can be compared with film reviews from other industries. However, some restrictions are also brought up, which offers suggestions for further work.","PeriodicalId":310548,"journal":{"name":"Frontiers in Management Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56397/fms.2023.06.08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of this project is to address the research question “What factor determines the success of an action movie?”, where the success factors are quantified as plot, music, plot, and director. Based on the research question, the author conducts a literature review of the development of the UK film industry, the impact of social media and film criticism on the film industry. To evaluate film reviews, sentiment analysis, which can efficiently convert text into structured data, is utilized in the project. In the methodology and the case study, the method of constructing the VADER model and the SVM model with the process including data processing, modelling, result correctness verification, and model evaluation are expounded and shown. Finally, the correctness of the two models is verified and the model output is visualized for analysis. The conclusion of the project is as follows: (1) Responding to the inquiry: In action films, the plot is the aspect that the audience pays the most attention to, but first the actors and music, and finally the director. (2) When compared to the experimental findings of Wang et al. (2020a), the project came to different conclusions, presumably as a result of the project’s limited access to movies and the change in the data processing approach. (3) Given that the two models employed in this research did well in the evaluation, they can be effectively applied to help production firms raise the caliber of action movies. (4) The models in the research can be easily developed and used to other domains because film review analysis can be compared with film reviews from other industries. However, some restrictions are also brought up, which offers suggestions for further work.
这个项目的目的是解决研究问题“什么因素决定了一部动作电影的成功?”,其中成功因素被量化为情节、音乐、情节和导演。基于研究问题,作者对英国电影产业的发展,社交媒体和影评对电影产业的影响进行了文献综述。为了评估电影评论,该项目使用了情感分析,它可以有效地将文本转换为结构化数据。在方法学和案例分析中,阐述了构建VADER模型和SVM模型的方法,包括数据处理、建模、结果正确性验证和模型评价等过程。最后,验证了两种模型的正确性,并将模型输出可视化以供分析。项目的结论如下:(1)回应质询:在动作片中,情节是观众最关注的方面,其次是演员和音乐,最后才是导演。(2)与Wang et al. (2020a)的实验结果相比,该项目得出了不同的结论,这可能是由于该项目对电影的获取有限以及数据处理方法的变化。(3)鉴于本研究所采用的两个模型在评价中表现良好,可以有效地应用于帮助制作企业提高动作电影的质量。(4)由于电影评论分析可以与其他行业的电影评论进行比较,因此研究中的模型易于开发和应用于其他领域。但也提出了一些限制条件,为今后的工作提供了建议。