CAJ | 학술논문

微博客是互动性的网络社交服务平台，由于微博传播机制、影响范围的不断扩大，已经成为当下非常便利的互联网用户交流信息方式。以新浪微博为数据获取平台，对含有同一微博标签的用户分析微博内容与用户标签的相关性，得到基于内容的用户排名方法。通过引入活跃度高的同主题服务团队，完成分词和文本分类分析，结合朴素贝叶斯算法和概率统计判定微博标签用户所发微博与设定标签的相关性，验证排名方法的可行性，优化标签用户的排名结果，从而进一步丰富目前的微博服务。
미박객시호동성적망락사교복무평태，유우미박전파궤제、영향범위적불단확대，이경성위당하비상편리적호련망용호교류신식방식。이신랑미박위수거획취평태，대함유동일미박표첨적용호분석미박내용여용호표첨적상관성，득도기우내용적용호배명방법。통과인입활약도고적동주제복무단대，완성분사화문본분류분석，결합박소패협사산법화개솔통계판정미박표첨용호소발미박여설정표첨적상관성，험증배명방법적가행성，우화표첨용호적배명결과，종이진일보봉부목전적미박복무。
As an interactive social networking platform, Sina Weibo has been expanding influence continually due to its dissemination mechanisms, and has been a convenient way for internet users to share information. This paper, with Sina Weibo used as the source of da-ta acquisition, analyzed contents and user tags correlations between users containing the same Microblog labels, thus obtained a Microblog content based user-ranking method. By introducing a highly active service team with the same theme for word segmentation and text clas-sification analysis, combined with Bayesian algorithms and probability and statistical methods to determine the correlation between Microb-log content by user label and the set labels, this paper verified the feasibility of the user-ranking method, optimized user-ranking results, so as to further enrich the current Micro-blogging service.