Value reconstruction of film industry in the era of SDN-IoT integration: Intelligent evaluation based on emotional information extraction

Abstract

In the context of the rapid integration of Software-Defined Networking (SDN) and the Internet of Things (IoT) in the film industry, this study explores the value reconstruction of film evaluation. The convergence of SDN and IoT has brought new opportunities and challenges to the film industry. We focus on the emotional information extraction in films to provide a novel perspective for intelligent film evaluation. Firstly, leveraging speech recognition and natural language processing techniques, we utilize the BERT model to encode the text data of lines, followed by the Bi-GRU model for emotion classification. The results demonstrate that the recognition accuracy for exciting, sadness, and angry emotions exceeds 80%. Through comparisons with RNN, LSTM, and BI-LSTM, the BERT-Bi-GRU method shows higher precision in intelligent movie emotion extraction and enables intelligent evaluation. This approach not only offers new insights for the development of the film industry but also provides technical support for the standardization of the film production process in the era of SDN-IoT integration.