Construction of sentimental knowledge graph of Chinese government policy comments

IF 3.2 4区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Knowledge Management Research & Practice Pub Date : 2021-12-03 DOI:10.1080/14778238.2021.1971056

Zhiyi Li, Y. Dai, Xiaolin Li

引用次数: 5

Abstract

ABSTRACT Social Media Networks have developed into an important channel and platform for the collection and dissemination of policy information. Various policy comments on them have fully demonstrated the basic characteristics of big data. This paper introduces knowledge graphs into the sentiment analysis, analyses and sorts out the policy comments of China's mainstream social media platforms from 2016 to 2019, build a sentiment analysis dictionary, and then use the policy comments evaluation system to form sentiment knowledge graphs of policy comments that includes seven sentiments and five themes. The process of the sentiment knowledge graph constructed in this paper helps to more accurately understand the changes of online public opinion, and provides a theoretical basis for local governments to adjust the implementation of various policies. Apart from being the prototype of the automated sentiment knowledge graph system for policy comments, it can also be applied to other related hot topics.

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中国政府政策评论情感知识图谱的构建

摘要社交媒体网络已发展成为收集和传播政策信息的重要渠道和平台。对它们的各种政策评论充分展示了大数据的基本特征。本文将知识图谱引入情感分析，对2016年至2019年中国主流社交媒体平台的政策评论进行分析整理，构建情感分析词典，然后利用政策评论评价系统，形成包括七种情感和五个主题的政策评论情感知识图谱。本文构建的情绪知识图谱过程有助于更准确地了解网络舆论的变化，为地方政府调整各项政策的实施提供理论依据。它不仅是政策评论情感知识图谱自动化系统的原型，还可以应用于其他相关热点话题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Knowledge Management Research & Practice Multiple-

CiteScore

7.00

自引率

15.60%

发文量

期刊介绍： Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.