Research on the Current Situation and Formal Evolution and Innovation Path of Film and Television Criticism Supported by Cloud Platforms

Abstract

With the development of information technology and network communication, the film and television industry in the new era is rising and growing. In the film and television industry, film and television reviews are an indispensable part of the chain and play an important role in influencing the performance of film and television works to a great extent. In this paper, the ATCNN-SVM model is constructed to obtain sentiment classification results for film and television reviews and improve the generalization ability of the original model. Crawling the film and television reviews on relevant film websites, this text data is subjected to dimensional mining and dimensional correlation analysis, and the overall sentiment tendency of film and television reviews is obtained through sentiment-weighted accumulation. After a series of clustering and fusion steps, seven categories of film elements and five polarity sentiment scores were obtained for each film. When the sentiment score is -13, the frequency of films appearing is at most 2477, and at this time, film reviews mainly focus on filming techniques. Based on the results of the experimental analysis, we summarise the problems of film and television reviews at the present stage, and from a diversified perspective, we make positive and active reviews of domestic and non-domestic films, respectively, and analyse the innovative path of film and television review form evolution.