基于关键词分析的微博群体阅读特征分析  

A Study of Micro-blog Public Reading Characters Based On Keyword Analysis

作　　者：郑天奇 Zheng Tianqi(Institute of Modern Educational Technology, Sun Yat-Sen University, Guangzhou 510220, Chin)

机构地区：[1]中山大学现代教育技术研究所,广州510220

出　　处：《图书情报研究》2018年第2期60-68,共9页Library and Information Studies

摘　　要：[目的 /意义]基于关键词分析,得出不同类型的微博阅读群体的特殊行为特征,分析微博对群体阅读所起的作用和用户参与中的得失。[方法 /过程]通过采集微博热门读书话题的数据样本,进行关键词提取、关键词词频统计、关键词与微博热度相关性分析、关键词文本分类和情感分析。[结果 /结论 ]对于在微博平台如何更好开展群体阅读分别从有影响力用户、普通用户、商业用户及平台方角度提出具体发展建议:有影响力的微博用户应加强与普通用户的深度互动;普通微博用户应加强自己的"深阅读"能力和交流能力;微博商业用户应减少书籍的过度营销;新媒体应加强对知识性阅读话题的重视和推广。[Purpose/significance] The present article aims to reveal the special behavioral characteristics of different types of Micro-blog readers and the positive and negative influence of Micro-blog on mass reading based on keyword analysis. [Method/process] In order to achieve this aim, we collected the data of the hot topics, extracted keywords, made statistics of keyword frequency and correlational analysis of the keywords and the public attention, clarified the keywords, and conducted emotion analysis. [Result/conclusion] And from the perspective of influential users, ordinary users, business users and the platform side, we put forward specific development proposals on how to better carry out public reading on the micro-blog platform： Influential micro-blog users should deepen their interaction with ordinary users; Ordinary micro-blog users should improve their deep reading ability and communicative ability; Commercial micro-blog users should reduce excessive marketing. Besides, new media should pay more attention to the popularization of knowledge-oriented reading.

关 键 词：关键词分析 文本分类 情感分析 群体阅读 微博话题 

分 类 号：G247[文化科学]