怎样呈现创新:媒体的5G报道分析——基于LDA主题建模技术

在线阅读下载PDF

导出

摘要本文通过对媒体的新闻进行分析发现,媒体对于5G这一创新技术的报道主要突出其相对优势、可观察性与可尝试性;媒体将5G作为其常规科技议题,持续跟进5G技术的研发与应用进展。从数量与时段来看,有利于人们保持对5G技术的注意力,为创新的采纳奠定认知基础。

作者高顺恒

机构地区广西大学新闻与传播学院

出处《传播力研究》 2020年第5期71-71,73,共2页 Research on Transmission Competence

关键词 5G LDA 报道分析

作者简介高顺恒(1995—),男,广西南宁人,广西大学新闻传播专业二年级在读硕士研究生,主要从事传播与社会研究。

参考文献2

1谭松波,王月粉.中文文本分类语料库-TanCorpv1.0[EB/OL].(2007-08-29)[2008-01-20].http://www.searehforum:org.cn/tansongbo/corpus.htm.
2Deerwester S,Dumais S T,Furnas G W,et al.Indexing by latent semantic analysis[J].Journal of the American Society for Information Science,1990,114(2):211-244.
3Hofmann T.Probabilistic latent semantic analysis[C]//Proceedings of the Twenty-Second Annual International SIGIR,Conference on Research and Development in Information Retrieval.New York:ACM,1999:50-57.
4Blei D M,Ng A Y,Jordan M L,et al.Latent Dirichlet allocation[J].Journal of Machine Learning Research,2003,3(2):993-1022.
5Blei D M.Probabilistic topic models[J].Communications of the ACM,2012,55(4):77-84.
6Barbieri N,Manco G,Ritacco E,et al.Probabilistic topic models for sequence data[J].Machine Learning,2013,93(1):5-29.
7Isaly L,Trias E,Peterson G.Improving the latent Dirichlet allocation document model with WordNet[C]//Proceedings of the 5th International Conference on Information Warfare and Security.London:Academic Conferences Ltd,2010:163-170.
8Hofmann T.Unsupervised learning by probabilistic latent semantic analysis[J].Machine Learning,2001,42(1):177-196.
9Du Lan,Buntine W,Jin Huidong,et al.Sequential latent Dirichlet allocation[J].Knowledge and Information Systems,2012,31(3):475-503.
10Mohd M,Crestani F,Ruthven I.Evaluation of an interactive topic detection and tracking interface[J].Journal of Information Science,2012,38(4):383-398.

传播力研究

2020年第5期

内容加载中请稍等...