Research on Risk Early Warning of Police-involved Network Public Opinion Under the Background of the Integration of "Feeling, Pointing, and Acting"

In the new media era, the access threshold of the media has been greatly reduced, and the way of information dissemination has undergone profound changes. Due to the openness, real-time, diffusion, and other characteristics of the Internet, the network public opinion crisis occurs frequently. In recent times, there has been a noticeable increase in the percentage of incidents involving the police in public opinion, which is influencing the overall police public opinion environment. Based on this, the paper intends to utilize literature review and model research methods, utilizing collected relevant online information as the research foundation, to analyze and extract the concepts and characteristics of the integration of "emotion, guidance, and action," as well as the network public opinion and risks related to law enforcement. Subsequently, it will summarize the current challenges faced in law enforcement public opinion risk early warning. Then, relying on the core concept of the integration of "feeling, pointing and acting", this paper deeply combines the plane scanning technology, Textmind text processing technology, and LTSM + Attention model to reshape the risk early warning process of police-related network public opinion, and provides an effective risk early warning scheme of police-related network public opinion for police.