学科交叉视角下的网络舆情研究主题比较分析——以国内图书情报学和新闻传播学为例

发布时间：2018-05-26 08:17

本文选题：网络舆情 + 热点主题　；参考：《情报学报》2017年02期

【摘要】：从学科交叉视角探索网络舆情在图书情报学和新闻传播学中的研究共性和差异性。以CNKI数据库中两门学科核心期刊的网络舆情研究文献为样本,在关键词规范化的基础上,一方面从微观角度结合词频和TF-IDF方法提取重要关键词,并对两门学科的关键词进行交集分析、共词聚类分析和战略坐标分析;另一方面从全局角度采用LDA模型对样本进行主题建模。然后,分别对基于共词聚类和基于LDA的热点主题划分结果进行语义关系规范和主题标识。研究发现,舆情传播与监测、高校舆情分析、危机预警与管理、政府舆情应对等是两门学科共同关注的主题,网络谣言分析、网络问政则分别是图书情报学和新闻传播学的特色研究主题。研究还发现,有部分潜在交叉主题和衍生主题在学科交叉与融合的推动下孕育而生。
[Abstract]:This paper explores the commonness and difference of network public opinion in library and information science and news communication. Based on the network public opinion research literature of two core journals in CNKI database, on the basis of the standardization of keywords, on the one hand, combining word frequency and TF-IDF method to extract important keywords from the microcosmic point of view. The key words of the two disciplines are analyzed by intersection analysis, coterm clustering analysis and strategic coordinate analysis. On the other hand, the LDA model is used to model the subject of the samples from the global point of view. Then, semantic relation specification and topic identification are applied to the results of hot topic partitioning based on coterm clustering and LDA, respectively. It is found that the communication and monitoring of public opinion, the analysis of public opinion in colleges and universities, the early warning and management of crisis, and the response of government public opinion are the subjects of common concern between the two disciplines. Network politics is the characteristic research subject of library and information science and news communication science. It is also found that some of the potential cross-themes and derivative themes are nurtured by the cross-and-fusion of disciplines.
【作者单位】：中山大学资讯管理学院;
【基金】：国家社会科学基金重大项目(12&ZD222) 国家自然科学基金项目(61572145) 教育部人文社会科学研究青年项目(14YJC870021,13YJCZH258) 广东省科技计划项目(2014A040401083,2015A030401093)
【分类号】：C912.63;G353.1

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