Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network

To study the sentiment diffusion of online public opinions about hot events, we collected people’s posts through web data mining techniques. We calculated the sentiment value of each post based on a sentiment dictionary. Next, we divided those posts into five different orientations of sentiments: st...

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Detalles Bibliográficos
Autores principales: Hao, Xiaoqing, An, Haizhong, Zhang, Lijia, Li, Huajiao, Wei, Guannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603960/
https://www.ncbi.nlm.nih.gov/pubmed/26462230
http://dx.doi.org/10.1371/journal.pone.0140027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603960/
https://www.ncbi.nlm.nih.gov/pubmed/26462230
http://dx.doi.org/10.1371/journal.pone.0140027

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