An Approach of Multi-Comment Emotional Perception Based On K-Means Clustering towards Online Government Service System

Abstract

The service quality of online government services is related to the efficiency of government affairs. To cluster the sentiment of comments based on the quantification of user comments. Proposed methods and mechanisms for judging the direction of emotions and visualizing data. In this paper, we further enrich multidimensional information extraction and promote system intelligence by using K-means clustering algorithm based on comments quantification. It provides a quantitative basis and model for the government platform to implement web-assisted services and provides strong data support for subsequent sensing tasks. We will promote the development of platforms and improve the control capabilities of platforms.