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

Abstract

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: strongly positive (P), weakly positive (p), neutral (o… (More)
DOI: 10.1371/journal.pone.0140027

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Cite this paper

@inproceedings{Hao2015SentimentDO, title={Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network}, author={Xiaoqing Hao and Haizhong An and Lijia Zhang and Huajiao Li and Guannan Wei and Sergio G{\'o}mez}, booktitle={PloS one}, year={2015} }