摘要
校园BBS是大学生发表言论、表达思想的重要平台,也是高校舆情监控的重要部分。本研究在前人研究舆情监控的基础上,基于本体和语义网的思想构建了高校BBS舆情监测的语义字典。将已有的中山大学BBS帖子作为原始语料构建字典的基础,利用原始语料中词汇的内在聚类结构作为字典的知识结构,并通过对原有帖子的中心词聚类和标引,初步构建中山大学BBS语义字典。同时,构造算法对动态采集的新帖子进行实证分析与验证。该研究能够为网络舆情监测提供新的研究方法与思路。
BBS is an important platform for expression of ideas,therefore,it's an important part of college opinion monitoring. On the basis of previous public opinion monitoring studies,this paper drew on the concept of ontology and semantic web to build public opinion monitoring semantic dictionary of university BBS. This paper uses the original BBS posts of Sun Yat-Sen channel as the original corpus to build the dictionary and get the vocabulary of the original corpus intrinsic clustering structure as the knowledge of the structure of the dictionary. Through the center of the original post word clustering and indexing,it firstly builds the Yat-Sen channel semantic dictionary. At the same time,it constructs the algorithm of dynamic acquisition of new posts by empirical analysis and verification. It will provide a new method and idea to the study of public opinion monitoring.
出处
《中山大学研究生学刊（社会科学版）》
2013年第4期43-54,共12页
Journal of the Graduates Sun YAT-SEN University(Social Sciences)
关键词
中山大学BBS
语义字典
网络舆情监测
主题标引
Sun Yat-Sen channel
semantic dictionary
Public opinion monitoring
Subject indexing
