The Construction of a Green Network Ecosystem

In the new media era, building a green network ecology is crucial. We advocate enhancing public opinion influence through “green-oriented” strategies, developing high-quality new media products, and maintaining a green ecology for user communities. Network security serves as the foundation of this ecology. This paper proposes a deep learning-based sentiment classification method for social media users, which incorporates word position information, leverages self-attention mechanisms to extract features, and optimizes outputs through batch normalization, fostering a virtuous cycle in the network environment. Experiments show that this model improves evaluation metrics by 15.31% compared to traditional models, demonstrating superior EPC performance in network security research. This highlights the positive impact of a green and healthy social media atmosphere on media usage.