Application of edge computing combined with deep learning model in the dynamic evolution of network public opinion in emergencies

The Integrated Development of the Manufacturing and Service Industries Facing Human-Computer Interaction Based on Deep Learning

With the rapid development of modern technology and the economy, the global value chain is also constantly evolving, and the links between various industries are becoming closer. With the continuous optimization of the international situation and the support of Chinese policies, the integrated development of manufacturing and service industries is the general trend. This study proposes to use human-computer interaction to conduct in-depth research and analysis of the development relationship, influencing factors, and evolution direction between manufacturing and service industries in the perspective of deep learning. Firstly, based on the current development status of the two industries, the influencing factors of mutual evolution are summarized, including environment, market, technology, and management. Secondly, the computer is used to construct the evolution models of the two major industries. The simulation verification and evolution feature extraction are carried out.

Ciphertext Database Audit Technology Under Searchable Encryption Algorithm and Blockchain Technology

The study aims to solve the problems in auditing ciphertext data, improve audit efficiency, and increase the security of audit data in the audit server. First, the existing encryption algorithms are analyzed. Second, the searchable encryption algorithm is proposed to audit the ciphertext data, and an audit server scheme is made based on blockchain technology (BT). Finally, the two schemes are compared with the traditional audit technology. The results show that the server's inspection efficiency of the searchable encryption algorithm is higher.

Multimodal Sentiment Analysis of Online Product Information Based on Text Mining Under the Influence of Social Media

Currently, with the dramatic increase in social media users and the greater variety of online product information, manual processing of this information is time-consuming and labour-intensive. Therefore, based on the text mining of online information, this paper analyzes the text representation method of online information, discusses the long short-term memory network, and constructs an interactive attention graph convolutional network (IAGCN) model based on graph convolutional neural network (GCNN) and attention mechanism to study the multimodal sentiment analysis (MSA) of online product information. The results show that the IAGCN model improves the accuracy by 4.78% and the F1 value by 29.25% compared with the pure interactive attention network. Meanwhile, it is found that the performance of the model is optimal when the GCNN is two layers and uses syntactic position attention. This research has important practical significance for MSA of online product information in social media.

Intelligent Information Network Security Management Strategy for Service Innovation of Manufacturing Enterprises Under Blockchain

Since the beginning of the new century, all manufacturing enterprises have been seeking ways to transform and upgrade the systems to maintain their competitive advantages. In the process of transformation and upgrading, service innovation has become more vital. In the service innovation mode, customers and suppliers are mainly involved in the manufacture of products. In the process of communication, these suppliers and customers need to rely on public key infrastructure (PKI) for data encryption and identity authentication operations, thereby achieving reliable information exchange and identity authentication in an untrusted environment. Therefore, ensuring the security of network communication for various types of users is crucial. The purpose of this paper is to solve the problem that results when a tampered certificate is difficult to trace due to the single point of failure and vulnerability of the current settlement and authentication system. In this scenario, the user's identity information is leaked in the certificate application. Resolving this problem is necessary to ensure the security of the information network.